JPH063593B2 - Handwriting shorthand character converter - Google Patents

Description

The present invention relates to a handwritten shorthand character conversion device for inputting reading by shorthand characters from a handwritten character input unit and converting the reading into kanji and kana mixed sentences.

[Conventional technology]

A tablet and an input pen that draws characters on the drawing surface of the tablet are generally used for inputting handwritten characters.
This handwritten character input unit sequentially outputs data regarding the contact point with the tablet of the input pen tip, that is, the trajectory of the writing point by drawing a character on the drawing surface of the tablet with the input pen, and sends this to the character recognition unit. To do. The scribe is 1
Every time the writing of a character is completed, the character recognition unit is notified of the end. The character recognition unit responds to the writing end information and recognizes the handwritten character based on the data regarding the locus of the writing point.

References for the technique relating to input of handwritten characters include Japanese Patent Publication No. 57-6151 and Japanese Patent Publication No. 57-194.
71, JP-B-57-16382, JP-A-5
5-61884, JP-A-53-45935 and JP-A-55-140975 can be mentioned.

On the other hand, Japanese document creation apparatuses that process Japanese documents using computer devices have become widespread. This is for inputting Japanese "yomi" with "kana" or the like from a keyboard or the like, and converting this into a kanji-kana mixed sentence. There are various kana-kanji conversion methods for converting this "kana" into kanji, such as single-kanji conversion, idiom conversion, phrase conversion, etc. You have to tell the Kana-Kanji converter about the timing of. For this reason, a keyboard for "reading" input is generally provided with a conversion instruction key.

Among the above-mentioned handwritten character input devices, there are those that recognize not only English letters, numbers and Kana characters, but also Kanji characters, but in general, there are many that recognize English letters, numbers, and Kana characters. Development of a Japanese document creation device as an input device for "Yomi" is also in progress. That is, "hand reading" is input by the handwriting input unit, what is recognized by the character recognition unit is delivered to the Chinese character conversion device, and this is converted into a kanji-kana mixed document.

On the other hand, when handwriting a character, a shorthand character has been devised with the intention of performing it at high speed. By using this, it is said that it is possible to write about 150 to 350 characters per minute, although it depends on the skill level.

[Problems to be solved by the invention]

Considering the above-mentioned conventional technique, if a handwritten character input device is used and shorthand characters are used as the characters, it is possible to input "reading" at a higher speed, and it is possible to significantly improve the speed of creating a Japanese document. it can. However, as described above, when converting "yomi" into kana-kanji, the kana-kanji conversion device must be informed of the conversion timing.

This timing is performed by the conversion instruction key on the keyboard as described above, but this operation differs greatly from the input operation of handwritten shorthand characters. Performing different operations of this kind during the operation of inputting handwritten shorthand characters greatly disturbs the continuity of the input operations of the writer, and as a result improves the input speed and operability. It will not be possible. Despite adopting shorthand characters to improve character input speed, this reduces the effect by half.

The present invention has been made in view of the above points, and an object thereof is to provide a handwriting shorthand character conversion device capable of automatically determining the conversion timing without requiring operation of a conversion instruction key or the like. To get.

[Means for solving problems]

When you create a document using shorthand characters, unlike when you create a document using general characters
It is rare to write characters one by one, and write multiple characters in succession without separating them. Here, the important thing is
Documents in shorthand characters are written consecutively in phrase units,
The clauses are described separately. It is also a factor that the continuity of this document is further improved than the writing speed. In addition, as a feature of shorthand characters, when looking at a special case, the character is one stroke, and thus one stroke can be written, and this enables continuity of the character.

The present invention focuses on this point. When inputting a shorthand character by using the handwritten character input means, the distance between the writing points on the drawing surface of the handwritten character input means is detected, and in response to this detection, the kanji It is the one that performs the conversion.

That is, a feature of the present invention is that a handwriting shorthand character input unit that sequentially outputs data regarding a locus of a writing point on a drawing surface, and data that is sequentially input from the handwriting shorthand character input unit and is handwritten based on the data. A shorthand character recognition means for recognizing shorthand characters, a separation detection means for sequentially inputting data from the handwritten shorthand character input means to detect the separation of the writing points from the drawing surface, and a writing point separation from the separation detecting means. A handwritten shorthand character conversion device comprising: a kanji character conversion processing means that responds to information and performs kana-kanji conversion processing based on the characters recognized by the shorthand character recognition means.

[Action]

According to the above, when a shorthand character is handwritten on the drawing surface of the handwritten shorthand character input means, the handwritten shorthand character input means sequentially inputs the data relating to the locus of the writing point to the shorthand character recognition means. The shorthand character recognition means sequentially recognizes the shorthand characters based on this data. At the same time, the separation detecting means constantly monitors the output data from the handwritten shorthand character input means, detects the separation of the writing point with respect to the drawing surface, and outputs the writing point separation information.

When the separation detecting means outputs the writing point separation information, the kanji conversion processing means responds to this output information and executes the kanji conversion processing based on the recognized characters recognized by the shorthand character recognition means.

In this way, it is possible to automatically determine the Kanji conversion timing without the need to operate the conversion instruction key or the like.

〔Example〕

 An embodiment of the present invention shown in the drawings will be described below.

FIG. 2 is a block diagram showing the overall hardware configuration of a handwritten shorthand character conversion device to which the present invention is applied, which is of a type called a relatively small computer device, generally a personal computer device, or a business computer device. It is configured by connecting a coordinate input device as a handwritten shorthand character input device to the computer device. The coordinate input device 2a includes a tablet and an input pen for drawing characters on the drawing surface of the tablet, as will be described later in this embodiment. 2b, 2c,
Reference numerals 2d and 2e are a central processing unit, a memory, a display unit, and a keyboard which constitute the computer unit COM.

The coordinate input device 2a has a tablet TB and an input pen 3a for drawing characters on the drawing surface of the tablet TB, as shown in FIG. Therefore, the tablet TB according to the present embodiment has a character input area 3b,
Areas 3d, 3e, 3c for designating various modes are provided. The coordinate input device 2a includes status information indicating whether a writing point, which is the tip of the input pen 3a, is in contact with the drawing surface of the tablet TB, X coordinate value information indicating the contact position of the writing point, and Y coordinate value information. And are sequentially output as needed.
That is, when a character is handwritten in the character input area 3b with the input pen 3a, X and Y coordinate value information as data regarding a writing point is sequentially output. The various modes are designated by pressing the input pen 3a against the corresponding areas 3d, 3e, 3c.

The memory 2c stores a program for forming shorthand character recognition means, separation detection means, kanji conversion processing means, and various means for effectively activating these means, and the central processing unit 2b processes and executes the programs. By doing
Achieve a given function. Further, the memory 2c provides various storage units for storing various data from the coordinate input device 2a and various intermediate data required for processing when the central processing unit 2b processes and executes each of these programs. In the case of the present embodiment, the display device 2d is used for such purposes as sequentially displaying the handwriting of the handwritten character being input or displaying the recognized character.

FIG. 1 shows the principle of the present invention, and is a block diagram showing the mutual relation of the above-mentioned means. Reference numeral 2a is a handwritten shorthand character input means, which is the coordinate input device shown in FIG. SHRG is a shorthand character recognition means,
PNUP is a separation detecting means, and KJCN is a kanji conversion processing means. These means SHRG, PNUP, KJCN are stored in the memory 2c in the form of a program as described above, and the central processing unit 2b processes and executes the program to achieve a predetermined function. In this figure, a coordinate input device 2a as a handwritten shorthand character input means is a tip contact portion of an input pen 3a with respect to a drawing surface 3b,
That is, the data regarding the locus of the writing point is sequentially output. The shorthand character recognition unit SHRG sequentially inputs the output data from the handwritten character input unit 2a, and sequentially recognizes the handwritten shorthand characters based on the data. Separation detection means PNUP
Similarly, the output data from the handwritten shorthand character input means 2a is sequentially input, and based on the data, the input pen 3a is input.
The separation of the tip of, ie, the writing point, from the drawing surface 3b is detected.

The kanji conversion processing means KJCN is a shorthand character recognition means SHR.
The character data recognized by G is input, and based on the character data, the Chinese character conversion processing is executed in response to the writing point separation detection information from the separation detecting means PNUP.

Accordingly, it is possible to obtain a handwriting shorthand character conversion device capable of automatically determining the conversion timing without requiring the operation of a conversion instruction key or the like.

Hereinafter, each of these means will be described in detail. FIG. 4 to FIG. 14 are flowcharts showing the configuration of programs constituting various processing means, and FIG. 15 is a memory configuration diagram showing the configuration of various storage units necessary for executing these respective means. . FIG. 16 is a diagram showing an example of shorthand characters in correspondence with hiragana characters.

FIG. 17 (a) shows a handwriting T in which "Haruga" is written in shorthand by the input pen 3a on the drawing surface 3b of the tablet TB.
FIG. 17B is a diagram showing R, and FIG. 17 (b) is a diagram showing a locus TR of "I came" written on the drawing surface 3b of the tablet TB with the input pen 3a by a shorthand character.

18 to 27 are explanatory views for explaining the principle of recognition of shorthand characters according to this embodiment.

The details of each processing means will be described in detail with reference to FIG. This drawing is a memory configuration diagram showing the configuration of the primary storage unit necessary for executing each processing means as described above, and each storage unit is set to a predetermined address of the memory 2c.

The GDST is a coordinate value information acquisition state storage unit that stores an acquisition state of a signal received from the coordinate input device 2a, that is, a status signal, X coordinate value information, and Y coordinate value information. STT, XDT, and YDT are the status information, the X coordinate value information, and the Y, which are respectively received from the coordinate input device 2a.
A storage unit that stores coordinate value information. PNF is a previous pen state storage unit that stores the status information associated with the coordinate value of the writing point of the closest past input pen 3a, that is, the pen-up state or the pen-down state, and PST is the current status information storage unit STT. It is a pen state storage unit that stores the state of the input pen 3a based on the contents and the contents of the closest past status information storage unit PNF, that is, any state at the time of pen down, during pen down, or at pen up.

The DOTS is a coordinate that sequentially stores status information, X coordinate value information, Y coordinate value information, and various kinds of information obtained by the status information, which are respectively received from the coordinate input device 2a, and sequentially and cyclically stores data regarding a locus of a writing point. It is a value storage unit. The coordinate value storage unit DOTS is logically configured in an annular shape, and cyclically stores information about the locus of the writing point. ST
The CM is a character code storage unit that sequentially stores and accumulates the character codes of the stored shorthand characters.

Hereinafter, each figure will be described in detail with reference to FIG.

4 and 5 are flowcharts showing the main processing means, and particularly FIG. 5 shows the trajectory acquisition means TD for inputting various information output from the coordinate input means 2a to the computer device COM by using the interrupt function. It is a flowchart shown. The trajectory acquisition means TD first activates the coordinate acquisition means GD in step 5a as described later in detail, and takes in the coordinate information of the writing point and the status information of the input pen 3a at that time point, and stores this in the coordinate value storage section. Sequentially store in DOTS. Subsequently, in step 5b, the pen state acquisition means PS is activated as described later in detail, the state of the input pen 3a is determined from the stored contents in step 5a, and the coordinate value storage unit DOTS is similarly stored.

In the main processing means shown in FIG. 4, first, in step 4a, the initialization means INIT is activated. This means INIT
Initializes various temporary storage units and each unit of the apparatus, as will be described later in detail. In the following step 4b, the character delimiter detection means SPDT is activated, as will be described later in detail. This means SPDT detects the delimiter of each shorthand character based on the data taken in by the trajectory acquisition means TD shown in FIG. That is, as shown in FIG. 17, a shorthand character is composed of a plurality of characters written in a single stroke. Therefore, when recognizing each character, the delimiter is detected to separate each shorthand character. In step 4b, the character delimiter detection means SPDT detects the delimiter of the shorthand characters, so that the shorthand character recognition processing means SHCR is activated in step 4c. This means SHCR
Responds to the character delimitation detection information from the character delimitation detection means SPDT, and recognizes the shorthand characters based on the data for one shorthand character. Then, in step 4d, the character codes of the recognized characters are sequentially stored in the character code storage unit STCM. Subsequently, in step 4e, it is determined whether or not the input pen 3a is separated from the drawing surface 3b of the tablet TB. If it is not separated, the process is returned to step 4b to recognize the next character. Here, if the input pen 3a is separated from the drawing surface 3b of the tablet TB, the next character determination means NXCH, which will be described later in detail, is activated in step 4f. In the case of shorthand characters, one character is basically written in one stroke, but there are also two strokes for special characters such as semi-voiced sound, so this is determined. If this is a semi-voiced sound, the process moves to step 4c in step 4g, and character recognition is executed again. If it is not a semi-voiced sound, the process proceeds to step 4h to activate the kanji conversion processing means KJCN to execute kanji conversion based on the character code stored in the character code storage unit STCM up to that point. Then, the converted characters are passed to a program such as a Japanese document creation device.
In step 4i, it is determined whether or not to end the series of processes. If not, the process returns to step 4b and the series of processes is repeated.

By executing such a series of processes, the handwritten shorthand characters are converted into a kanji-kana mixed sentence. Incidentally, in correspondence with FIG. 1, steps 4b, 4c and 4d constitute shorthand character recognition means SHRG, and step 4e constitutes separation detection means PNUP.

The processing means shown in FIGS. 4 and 5 will be described in detail below.

FIG. 6 is a flow chart showing the details of the coordinate value acquisition means GD, the outline of which is shown in step 4a of FIG. Upon activation, the means GD first receives various information from the coordinate input device 2a in step 6a, and in subsequent step 6a, identifies which information the internal state of the means GD is in the input waiting state. . That is, the stored contents of the coordinate value acquisition state storage unit GDST are predetermined as "0" for waiting for status information, "1" for waiting for X coordinate value information, and "2" for waiting for Y coordinate value information. There is.
Next, in steps 6c, 6f and 6j, the data types of the input information and the waiting information are checked. In particular, when different types of input data are detected in step 6f and step 6j, the internal state is reset by clearing the storage unit GDST in steps 6i and 6m. Further, in step 6d, step 6g, and step 6k, the received information is stored in the corresponding storage unit ST.
The data is transferred to and stored in T, XDT, and YDT, and the stored contents of the storage unit GDST are rewritten so that the waiting state is returned in steps 6e, 6h, and 6l.

Finally, in step 6n, the storage unit ST
The status information and coordinate value information stored in T, XDT, and YDT are transferred and stored in the seat coordinate storage unit DOTS.

That is, this coordinate value acquisition means GD is equivalent to the coordinate input means 2
The information from a is sequentially fetched in the order of status information, X coordinate value information, and Y coordinate value information, and each fetched information is stored in the corresponding storage units STT, XDT, YDT, and all of this information is received and stored. , Prompt execution of subsequent processing means.

FIG. 7 is a flow chart showing the details of the pen state acquisition means PS, the outline of which is shown in step 5b of FIG.
Upon activation, the means PS first refers to the stored contents of the status information storage unit STT in step 7a to determine whether the state of the input pen 3a is currently in the up state or the down state. Next, step 7b and step 7c
At, the state change of the input pen 3a is detected. That is, the current pen state, that is, the status information storage unit S
The stored contents of the TT and the previous status information storage unit PNF are compared, and if the pen-down state and the pen-down state are respectively, the pen-down is continuing. If the pen-down state and the pen-up state are the pen-down state, the pen-up state and the pen-down state are respectively determined. If it is pen-up, it is determined to be the time. Next, in step 7d, step 7e, and step 7f, information indicating the corresponding states is transferred and stored in the pen state storage unit PST. Further, when there is a change in the pen state, that is, when the pen-up state changes to the pen-down state or the pen-down state changes to the pen-up state, information indicating the current pen state is obtained in steps 7g and 7h, respectively. In preparation for the next processing, is transferred and stored in the front pen state storage unit PNF. And finally, step 7i
The contents of the storage unit PST are stored in the coordinate storage unit DO as described above.
Store in TS.

By executing this pen state acquisition means PS, it is possible to identify whether the current pen state is at the time of pen down, during pen down, or at the time of pen up.

As described above, the coordinate acquisition means GD and the pen state acquisition means PS shown in FIGS. 6 and 7 sequentially store the coordinates of the locus of the writing point and the state of the input pen 3a in the storage unit DOTS.

FIG. 8 is a flow chart showing the details of the initialization means INIT whose outline is shown in step 4a of FIG. The means INIT sets the device, the temporary storage unit and the like to the initial state as described above. In the present embodiment, the coordinate input device 2a is connected to the computer device COM via the communication port, so first, step 8a.
Then, set the baud rate of this communication port to 9600, for example.
Set to [BPS]. Normally, the baud rate of the keyboard 2e is also 9600 [BPS], so that the same baud rate as that of the keyboard 2e is set so as to maintain compatibility with the keyboard 2e. In the next step 8b, the interruption of the keyboard 2e is disabled. According to the present embodiment, Japanese can be input by the coordinate input device 2a instead of the keyboard 2e. However, when the keyboard 2e and the coordinate input device 2a are simultaneously input, a strange character not intended by the operator is obtained. May be displayed on the screen, the hardware interrupt is invalidated by executing this step 8b. However, if the operator uses the keyboard 2e
Special character keys such as “&”, ““ “,” ””,
There are times when you want to enter "{", "}". In the present embodiment, such special character keys are not recognized, so a keyboard mode for reproducing the interrupt of the keyboard 2e is prepared. This switching selection key is prepared on the coordinate input device 2a. When the operator presses this keyboard mode selection key, the hardware interrupt of the keyboard 2e is permitted, and all the interrupts of the coordinate input device 2a are invalidated. Also, in order to transfer the interrupt from the keyboard 2e to the coordinate input device 2a, a processing program for recognizing that special key status information and a key code has come into the keyboard buffer is arranged at the beginning of the keyboard interrupt. Remember. Continue to Step 8
In c, the storage unit as various work areas is initialized, and in step 8d, the memory buffer for storing the recognized shorthand character code is initialized.

In the case of this embodiment, this is to secure 30 characters. Next, in step 8e, the position of the cursor on the display screen of the display device 2d is stored.

This completes the initialization of the coordinate input device 2a in the present embodiment.

Next, a shorthand character recognition process will be described. In this embodiment, as the basic character recognition of shorthand characters, the angle of the shorthand characters, the distinction of the length of the shorthand characters, the relative angle of the shorthand characters, the irregularity ratio of the shorthand characters, and the pattern matching of the shorthand characters are adopted.

FIG. 9 is a flow chart showing details of the character delimiter detection means SPDT shown in step 4b of FIG. The means SPDT is a processing means for detecting the delimiter of each shorthand character as described above. The writer is a tablet TB
The x-coordinates and the y-coordinates of the loci of the shorthand characters drawn on the drawing surface 3b are sequentially stored in the coordinate value storage unit DOTS by the locus acquisition means TG shown in FIG. In step 9a,
This coordinate value information is sequentially read, and the angle θi between the coordinate value (xi, yi) of the position where the writing point is present and the coordinate value (xi + 1, yi + 1) of the next writing point is given by the following (1 ) Formula, and memorize this. Hereinafter, this θi will be referred to as a shorthand inter-dot vector.

Then, in step 9b, the difference between the angle value θi calculated in step 9a and the previously calculated angle value θi is calculated,
As shown in FIG. 17, a point SP where the inter-shorthand point vector θi changes abruptly is detected. In the case of the present embodiment, the abrupt change of the inter-shorthand point vector θi is 60 degrees or more. If there is no abrupt change in the inter-shorthand point vector θi in step 9b, the process is returned to step 9a, and the angle change with the next writing point is detected again. Then, if there is a rapid change in the vector θi between shorthand points, this point is detected as the break point SP. In this way, the shorthand point vector θi
And one character can be separated from the locus coordinates xi and yi of the writing point. The start of writing can be detected by the pen-down information, and the end of writing can be detected by the pen-up information.

FIG. 10 is a flow chart showing details of the shorthand character recognition processing means SHCR whose outline is shown in step 4c of FIG.

First, the principle of angle recognition will be described. The angles in which the shorthand characters are described are as shown in FIG. That is,
There are 5 types of lines drawn by angle. Line A is 0 degrees, line B is 30 degrees, line C is 90 degrees, line D is 120 degrees,
Let line E be 150 degrees. Since a slight deviation occurs in the angle during writing, the angles + 5 ° and −5 ° of the lines A to E are recognized as the angles.

However, the points to be noted are the line D and the line E. When the writer writes the lines D and E in shorthand, this is difficult to distinguish by the mere angle. Therefore, the feature that line D is steep from top to bottom and line E is gentle from bottom to top is used to recognize the distinction between line D and line E. To do.

Basically, the shorthand characters are drawn at the above-mentioned five types of angles, and therefore the following two angles are used to recognize each shorthand character. Therefore, as its preprocessing, step 1
A sample point string of x and y coordinates for one character divided by 0a is approximated to N points, which is 6 points in this embodiment.
FIG. 19 and FIG. 20 show examples of shorthand characters of “ha”, which are shown in the case of equal division approximation with 6 sample points. In step 10b, the angle character recognition means AGRG for recognizing each shorthand character using the angle is activated. First
FIG. 1 is a flow chart showing details of the angle character recognition means AGRG. First, in step 11a, the sum of the relative angles of the sample points is calculated. In FIG. 19, the angle θi (i = 1 to 6) indicates the angle from the starting point Ps (xs, ys) to the sample point Pi (i = 1 to 6). This angle θ
i is calculated by the following equation (2).

Then, the sum of these relative angles will be described by the following equation (3).

Next, in step 11b, the angle type of the shorthand character and the irregularity of the character are detected based on the calculated values. FIG. 21 is a diagram in which each of the shorthand characters shown in FIG. 16 is classified according to the length, the type of the angle, and the unevenness, and the shorthand characters are recognized according to such classification. In this figure, the corresponding "Hiragana" of the shorthand characters are added in parentheses. Then, in step 11c, the sum of the difference degrees in the angles of the sample points is calculated. That is, the angle θi (i = 1 to 6) in FIG. 20 is the difference between the vectors connecting the sample points.
Calculate the sum of The sum of the relative angles calculated as described above and the sum of the difference degrees of the angles are compared with the corresponding angle value of the standard dictionary created in advance in step 11d, and the characters with a small angle difference between the two are stepped. A plurality of items are selected and stored at 11e.

Next, recognition of the length of shorthand characters will be described. The Japanese syllabary of the shorthand characters is as shown in FIG. As can be seen from this figure, in shorthand, long lines are almost twice as long as short lines. In order to distinguish a long line and a short line, in the present embodiment, the short-line short characters and the long-line short characters are usually distinguished based on 1.2 [cm]. Generally, long letters are 1
The average length is 1.5 [cm] over [cm], and the short characters are
The average length is 7 [mm]. However, since the character size varies depending on the shorthand writer, the present embodiment is provided with a learning mode in which the writer can specify the length for distinguishing the length. In step 10c, it is judged whether or not this learning mode is designated. If yes, in step 10d the learning means STU is designated.
Start M. As shown in the detailed flowchart of FIG. 12, the learning means STUM designates a character having a sum of relative angles and a sum of differences in difference in angles which are approximate to each other in step 12a, and the writer regularly writes the characters. Ask the writer to write in the size you write. And step 12
In b, the written character is displayed on the display device 2d as it is,
Let the writer himself recognize each size at the same shorthand character angle. Then, when the writer writes a character whose size is different, such as the characters "a" and "ko", in reverse size, this is determined in step 12c, and in step 12d. A message indicating that there is a mistake is displayed on the display device 2d to request re-input. Then, by repeating these steps, the point that distinguishes the length of the handwritten character of the writer is recognized and stored in step 12e. The "character size" described above is determined by the following method in this embodiment. That is, as shown in FIG. 22, the barycentric coordinates (X, Y) of the sample points recognized as one character are calculated by the following formula.

The length obtained by doubling the distance from the center of gravity thus obtained to the sample point that is farthest away is defined as "character size".

In step 10e, the size of the shorthand character is recognized as described above, and in the subsequent step 10f, the shorthand character is calculated using the size of the shorthand character, the sum of the relative angles described above, and the sum of the difference degrees of the angles described above. Is recognized and a plurality of candidate characters are selected. In step 10g, the character recognizing means BRGM by the approximate direction vector series method is activated.

The means BRGM has its details as shown in FIG.
The shorthand character is correctly recognized from the selected plural candidate characters by the following segment approximate direction vector series method. As a preprocessing, the means BRGM converts the sample point sequence data into data of the standard dictionary size of the candidate character. Then, the following calculation based on the approximate direction vector series method is executed.

The approximate direction vector is the difference value itself between the end points of the segment. A character point of (N + 1) that divides one character into N equal parts is P
_{If 1} (start point) to P _{N + 1} (end point), the approximate direction vector ΔPi is ΔPi = Pi ₊₁ −Pi = (Xi ₊₁ −Xi, Yi ₊₁ −Yi) where i = 1 to N , Pn = (Xn, Yn), n = 1 to
N + 1.

N N S ₁ is ΣPi = Σ | Xi _{+ 1−} Xi | + | Yi ₊ 1i = 1i = 1Yi | (6) The stroke distance ds between the input character and the standard pattern is the sum of the distances between the characteristic parameters. Ask as.

That is, ds = ‖P _{1 −1} ‖ ... (distance between start points) + ‖P _{N + 1} −P _{N + 1} ‖ ... (distance between end points) N + Σ‖ΔPi−Δi‖ ... (approximation method i = 1
Direction distance between vectors) N = Σ | Xi-i | + | Yi-i = 1i | ...
(7) In step 13b, the standard dictionary pattern of candidate characters obtained by the size and angle of the character and the shorthand characters of the writer are calculated by the above equation (7), and the character having the minimum parameter distance is selected. In step 13c, the selected character and the handwritten character of the writer are compared based on the distance between the approximate direction vectors obtained by the equation (6). Then, if the distance between the written character and the approximate direction vector of the standard dictionary is an approximate value, it is stored that the character is recognized in step 13d, and if not, it is stored that the character is not recognized in step 13e.

Then, returning to FIG. 10 again, step 10h is executed. This step 10h is a process of determining whether or not a character is recognized, and specifically, step 13 of FIG.
This is determined according to d or the stored contents in step 13e. Here, if the character has been recognized, the execution of the shorthand character recognition means SHRG shown in FIG. 10 ends. Here, if the character is not recognized, step 10i
Activates the special character recognition means SCRG. FIG. 14 is a flow chart showing the details of the special character recognizing means SCRG. The means SCRG makes a judgment of a dull sound, a semi-voiced sound, and a nasal muddy sound, and executes character recognition according to these. That is, step 14a produces a dull sound, step 14b produces a semi-voiced sound, step 14c produces a nasal voiced sound, step 1
In 4d, nasal sounds are determined.

First, an example of recognizing a dull sound will be described with reference to FIG.

From this figure, it can be seen that adding a small circle to the end of the line produces a dull sound. Also, if the shorthand character I wrote before is a straight line,
It can be seen that this small circle is attached to the top or the left, and if it is a curve, it is attached to the inside. As will be described later, since the abbreviation of "i" is also a circle, in order to distinguish it from the circle, the size of the circle of the dakuon is, in the case of this embodiment, 1/5 or less of the long character of the Kiyon. I will recognize it as a dull sound. If there is no abrupt change in the angle in the formula and there is an intersection of x-coordinates and y-coordinates, and the circle containing the intersection meets the conditions of the cloud of the above-mentioned voiced point, this is recognized as a voiced sound. Then, in step 14e, the cursor position of the display device 2d and the character code of the preceding one character, Kiyone, are replaced with the character code of dakuon, and the cursor is returned to the original position.

Next, the case of semi-voiced sound in step 14b will be described. As is clear from FIG. 24, when the written character is short and is a straight line and the distance from the last writing point one character before is a certain length or more, this is called a semi-voiced sound. The determination is made, and step 14e is executed as described above.

Next, nasal sounds and nasal dull sounds will be described with reference to FIGS. 25 and 26. If you hit the end of the line to the upper right, this is recognized as "n". However, as shown in FIG.
Distinguish between straight lines and splices of straight lines and curves and splices of curves. Since the shorthand characters need to change their angle abruptly at the connection between the characters, if the lines are straight lines, shift the lines slightly, and if the lines are curves and curves and the lines are straight Stop the brush.

In this case, nasal letters are recognized when the length of the splashing is 1/2 or less and 1/5 or more of the length of the short letters of the clean sound, and when the length is 1/5 or less, the line Recognize this as a seam.

In the case of nasal voice, as shown in FIG. 26, when writing the voice with "n", write the letter "U" above or to the left of the line. In this case, Kiyone is already recognized as Kiyone when writing "n". Then, in order to distinguish it from the letters "o" and "ne", when it is less than half the size of "o" and "ne", it is recognized as a nasal sound. Then, in step 14f, the character code of the pure sound described just before is corrected to the character code of the nasal noise, and the cursor is moved backward.

When the shorthand character is recognized as described above, the character code is stored in the character code storage unit STCM as described in step 4d of FIG. Next, in step 4e, based on the pen state information detected by the pen state acquisition means PS shown in step 5b of FIG. 5,
It is determined whether the input pen 3a is separated from the drawing surface 3b of the tablet TB. If not separated, the process is repeated from step 4b, the next shorthand character is recognized, and the recognized character code is sequentially stored in the character code storage unit STCM in step 4b.

When it is detected in step 4e that the input pen 3a is separated from the drawing surface 3b of the tablet TB, step 4f
Next character determining means NXCH is activated. As described above, when the input pen 3a moves away from the drawing surface 3b, the shorthand character can be recognized as a segment break.
However, when the character is the semi-voiced sound as shown in FIG. 24, the input pen 3a is separated from the tablet TB in the middle of one character. Therefore, the next character determining means NXCH in step 4f determines the next coordinate data, and determines whether or not this forms a semi-voiced sound together with the last recognized character. The means NXCH is substantially steps 14b and 14e in FIG. 14, and detailed description thereof will be omitted. If this forms a semi-voiced sound, the process moves to step 4c in step 4g, and the last voiced character is subjected to the semi-voiced sound process.

As described above, when the separation of the input pen 3a is detected in step 4e and the next character does not form a semi-voiced sound, the kanji conversion processing means KJ is executed in step 4h.
The CN is activated. When the means KJCN is activated, the character code string stored in the character code storage unit STCM until then is delivered to the Kanji conversion processing means KJCN. As the Kanji conversion processing means KJCN, one conventionally used in a Japanese document creation device can be used, and the details thereof will be omitted.

In the case of the present embodiment, the phrase conversion format is used as the Kanji conversion processing means KJCN. One of the reasons for this is that shorthand characters are written in phrase units. The other one is the conversion rate of kanji. That is, this is because the correctness rate of conversion in phrase units is extremely high as compared with the Kanji conversion process in sentence units.

As described above, according to the embodiment, by the input pen 3a,
Hand-written input of shorthand characters on the drawing surface 3b of the tablet TB. Then, the trajectory acquisition unit TG stores the coordinate information regarding the trajectory of the tip contacting the drawing surface 3b of the input pen 3a, ie, the writing point, and the state information regarding the contact / separation of the input pen 3a with respect to the drawing surface 3b. Sequential storage and storage in DOTS. The character delimiter detection unit SPDT sequentially reads the stored information from the coordinate value storage unit DOTS and detects the delimiter of each character. The shorthand character recognition processing means SHCR recognizes the character for each character delimited by the character delimitation detection means SPDT and sequentially stores the recognized character codes in the character code storage unit STCM. When the handwriting of one segment is completed, the writer separates the input pen 3a from the drawing surface 3b in order to handwrite the next phrase.

The separation detecting means PNUP constantly monitors the state of the input pen 3a, detects that the input pen 3a is separated from the drawing surface 3b, and outputs the writing point separation information. Kanji conversion processing means KJC
N responds to this writing point separation information and converts it into a kanji-kana mixed sentence based on the character code string stored in the character code storage unit STCM up to that point.

As is clear from this, one phrase is handwritten on the drawing surface 3b of the tablet TB, and the input pen 3a
When is separated from the drawing surface 3b, the kanji conversion processing is automatically executed. That is, the writer does not need to operate the conversion instruction key or the like when converting the kanji. Moreover, in this way, the characteristics of the shorthand characters, that is, multiple shorthand characters are written consecutively in bunsetsu units, so that the conversion target of kanji characters is in bunsetsu units, and the conversion efficiency can be improved. Becomes

As described above, in the embodiment, the case where the tablet TB and the input pen 3a for drawing a character on the drawing surface of the tablet TB are used as the handwriting shorthand character input means has been described, but the present invention is not limited to this. Various coordinate input devices used as general handwritten character input means can be used.

Further, in the embodiment, the shorthand character confirmation means SHRG does not particularly mention this character code which finally recognizes the shorthand character as a character code, but this may be a corresponding kana character code, and each shorthand character It may be a shorthand character code assigned to each character. Especially when it is a kana character code, the conventional kanji conversion processing means KJC
There is an advantage that N can be used almost as it is. It should be noted that if this is recognized as a shorthand character code and the character code is converted to the kana character code when the character code is delivered to the Kanji conversion processing means KJCN, the same advantages as described above can be obtained. it can. In addition to this, a Kanji conversion dictionary for a shorthand character code may be provided.

〔The invention's effect〕

As is clear from the above description, according to the present invention, the kanji conversion timing can be automatically determined, so that kanji conversion can be performed without the need to operate a conversion instruction key or the like. It is possible to obtain a handwriting shorthand character conversion device that has good operability and can improve the input speed.

[Brief description of drawings]

FIG. 1 is a block diagram showing the principle of the present invention, FIG. 2 is a block diagram showing the overall configuration of a handwriting shorthand character conversion device to which the present invention is applied, and FIG. 3 is an external view showing an example of a coordinate input device. 4 and 5 are flowcharts showing the main processing means, FIG. 6 is a flowchart showing the coordinate acquisition means, and FIG.
FIG. 8 is a flow chart showing the pen state acquisition means, FIG. 8 is a flow chart showing the initialization means, FIG. 9 is a flow chart showing the character division detection means, FIG. 10 is a flow chart showing the shorthand character recognition processing means, and FIG. FIG. 12 is a flow chart showing the angle character recognition means, FIG. 12 is a flow chart showing the learning means, FIG. 13 is a flow chart showing the character recognition means by the approximate direction vector series method, FIG. 14 is a flow chart showing the special character recognition means, and FIG. Is a memory block diagram showing the configuration of various storage units used by various processing means, FIG. 16 is a diagram showing an example of a shorthand character, FIG. 17 is a diagram showing an example of a locus of a writing point on a drawing surface, and FIG. The figures are for explaining the angles of letters used for shorthand, FIG. 19, FIG. 20, FIG. 21 (a), FIG. 21 (b), and FIG. FIG. 23 is a diagram for explaining the principle of character recognition, FIG. 23 is a diagram showing an example of voiced characters, FIG. 24 is a diagram showing an example of semi-voiced characters, and FIG. 25 is a diagram showing an example of nasal characters. FIG. 26 is a diagram showing a character string of nasal voice, and FIG. 27 is a diagram for explaining the principle of recognition of shorthand characters. 2a ... Handwritten shorthand character input means, SHRG ... Shorthand character recognition means, PNUP ... Separation detection means, KJCN ... Kanji conversion processing means.

Claims (6)

[Claims] 1. A handwriting shorthand character input means for sequentially outputting data on a locus of a writing point on a drawing surface, and a shorthand for recognizing handwriting shorthand characters based on the data by sequentially inputting data from the handwriting shorthand character input means. Character recognition means, separation detection means for sequentially inputting data from the handwriting shorthand character input means to detect separation of the writing point from the drawing surface, and in response to writing point separation information from the separation detecting means, A handwritten shorthand character conversion device comprising: a kanji conversion processing means for executing a kanji conversion processing based on a character recognized by the shorthand character recognition means. 2. The handwriting shorthand character conversion according to claim 1, wherein the handwriting shorthand character input means comprises a tablet and an input pen for drawing a character on the drawing surface of the tablet. apparatus. 3. A handwritten shorthand character input means for outputting coordinates of a writing point of an input pen on a tablet and a status signal indicating whether or not the input pen is in contact with the tablet. The handwritten shorthand character conversion device according to claim 2. 4. The handwritten shorthand character conversion apparatus according to claim 1, wherein the shorthand character recognition means recognizes the shorthand characters and converts the shorthand characters into kana characters. 5. The handwritten shorthand character conversion device according to claim 4, wherein the kanji conversion processing means converts kana characters into kanji and kana mixed sentences. 6. The handwritten shorthand character conversion device according to claim 1, wherein the kanji conversion processing means converts the recognized character into a kanji-kana mixed sentence by phrase conversion.