JP7613158B2 - Reading device and method - Google Patents

Description

The present invention relates to a reading device and method.

Conventionally, there is technology to prevent the falsification of documents. For example, contract documents handled in business are checked for any fraud such as falsification using a dedicated device that detects falsification. Since the dedicated device is large and cannot be carried around, fraud checks are performed using a dedicated device installed within the company.

For example, Patent Document 1 discloses a technology that prevents document tampering by printing unique information on a recording medium in addition to the input contents and reading the unique information.

However, in the past, checking for document tampering and other irregularities was done using dedicated equipment installed within the company, making it impossible to check for document irregularities while away from the office or visiting a location, and there was a problem that irregularities could not be detected quickly.

The present invention has been made in consideration of the above, and aims to provide a portable reading device and method for checking for fraud such as tampering.

In order to solve the above-mentioned problems and achieve the object, the reading device of the present invention comprises a reading means for irradiating invisible information hidden in a read object with invisible light corresponding to the invisible information to read the invisible information , and a portable information processing terminal, wherein the portable information processing terminal has a comparison unit for comparing read data of visible information read by the portable information processing terminal from the read object with read data of the invisible information received from the reading means, and outputs a judgment result indicating tampering with the read object based on the comparison result of the comparison unit .

The present invention has the advantage that it is portable, making it possible to check for tampering and other fraudulent acts even when away from home.

FIG. 1 is a diagram showing an example of the structure of a document to be read and checked for tampering by a reading device according to the first embodiment. FIG. 2 is a diagram showing an example of the overall configuration of the hardware blocks of the reading device. FIG. 3 is a diagram showing an example of the external configuration of the external camera. FIG. 4 is a diagram showing an example of a hardware block configuration of a portable information terminal. FIG. 5 is a diagram showing an example of the configuration of a processing block of a reading device. FIG. 6 is a diagram showing an example of a flow of a process of determining whether or not the reading device has tampered with the data. FIG. 7 is a diagram showing an example of the configuration of a message screen for the tamper determination process in the reading device. FIG. 8 is a diagram showing an example of a stealth print of a document. FIG. 9 is a diagram showing an example of determining whether or not data has been tampered with. FIG. 10 is a diagram showing another example of the determination of tampering. FIG. 11 is a diagram showing a modified example of the functional blocks of the reading device. FIG. 12 is a diagram illustrating an example of a functional block configuration of a reading device according to the first modification. FIG. 13 is a diagram illustrating an example of a flow of a process of determining whether or not the reading device has tampered with the data. FIG. 14 is a diagram showing an example of a comparison result displayed on the screen of the reading device. FIG. 15 is a diagram illustrating an example of an external configuration of the entire reading apparatus according to the second embodiment. FIG. 16 is a diagram illustrating an example of a hardware block configuration of an external camera.

Embodiments of the reading device and method are described in detail below with reference to the attached drawings.

(First embodiment)
The reading device according to the present embodiment is applicable to media such as official documents or quotation documents that may be tampered with to allow a third party to obtain an unfair advantage. For example, the reading device can determine whether a document has been tampered with by comparing the visible information of the document with the invisible information embedded in the document.

Figure 1 shows an example of the structure of a document to be read by a reading device to determine whether it has been tampered with. Document 30 shown in Figure 1 includes visible text information 31 and invisible code information 32 such as a QR code (registered trademark). On the same surface of document 30, information with the same content as text information 31 printed as a visible image is printed, in this example, coded code information 32. Code information 32 is created, for example, by stealth printing using an electrophotographic method.

Regarding the stealth printing method, we will first explain the case where a special toner is used. A normal printer outputs a full-color image using a combination of the four colors K, C, M, and Y. On the other hand, stealth printing replaces the printer's K imaging unit with an imaging unit (NIR imaging unit) that uses a toner (NIR toner) that has a pigment that absorbs NIR (near-infrared light). In this case, since the imaging device does not have K toner, a black image 321 is reproduced using the three colors CMY. On the other hand, the image 322 made with NIR toner is hidden between the black image 321 made with CMY and the paper, resulting in a "stealth" image. In this way, both visible text information 31 and invisible code information 32 are formed on a single sheet of paper.

Stealth printing can also be performed on a printer with a normal K, C, M, and Y configuration, taking advantage of the property of the carbon contained in the K toner absorbing near-infrared light. In this case, a stealth image can be similarly obtained by embedding a black image 322 made with K under a color image 321 made with C, M, and Y.

Figure 2 is a diagram showing an example of the overall configuration of the hardware blocks of a reading device according to the first embodiment. The reading device 1 shown in Figure 2 has an external camera 10 and a mobile information terminal 20. The external camera 10 is a dedicated camera (an example of a "reading means") that captures near-infrared images, and has an external camera module 11, a visible light LED 12, and a near-infrared LED 13. The mobile information terminal 20 is a portable, battery-powered "portable information processing terminal" such as a smartphone.

3 is a diagram showing an example of the external configuration of the external camera 10. FIG. 3(a) shows an example of the external configuration of the external camera 10, and FIG. 3(b) shows an example of the external configuration when the external camera 10 is attached to the mobile information terminal 20. The external camera 10 shown in FIG. 3 has an external camera module 11 at the center of the front of the camera housing 10a, and a near-infrared LED 13 and a visible light LED 12 on either side of the external camera module 11. The external camera 10 is controlled from the mobile information terminal 20 by connecting the connector part 14 to a communication connection part (e.g., a USB terminal connection part) of the mobile information terminal 20. The external camera 10 operates by receiving power from the mobile information terminal 20 via a USB connection. The external camera 10 may be equipped with a battery.

The external camera module 11 has an image sensor with sensitivity in the near-infrared range, and receives reflected light of near-infrared light (an example of invisible light) irradiated from the near-infrared LED 13 to obtain a near-infrared image (invisible image). The external camera module 11 also has an image sensor with sensitivity in the visible light range, and receives reflected light of light irradiated from the visible light LED 12 to obtain a visible image. The read data (an image as an example) obtained by the external camera module 11 is output to the mobile information terminal 20, where image processing for determining whether or not the image is counterfeit is performed. In this example, the near-infrared LED 13 that emits near-infrared light is provided as an illumination unit in order to efficiently capture invisible images. The near-infrared LED 13 has a peak wavelength around 850 nm, which is efficiently absorbed by the pigment used in the NIR toner image 322.

The external camera module 11 has an image sensor that has sensitivity to the visible light range, and is configured to receive reflected light from the visible light LED 12. However, a configuration corresponding to the visible range may or may not be provided as appropriate depending on the application.

In addition, since the external camera 10 and the mobile information terminal 20 are independent devices, a connector unit 14 is provided as a data transmission means for connecting the external camera 10 and the mobile information terminal 20, making it possible to attach and detach the external camera 10. The external camera 10 and the mobile information terminal 20 may be connected via a cable of a predetermined length. In addition, the external camera 10 has the disadvantage that the device becomes expensive if it has a processing system such as decoding in the hardware. In consideration of this, in this example, the external camera 10 has a basic configuration and is simplified to an external camera module 11 and an LED illumination unit (visible light LED 12 and near-infrared LED 13), and processing is performed within the mobile information terminal 20. Also, by configuring it in this way, the mobile information terminal 20 can be implemented as a general smartphone or the like instead of a dedicated device.

Figure 4 is a diagram showing an example of the hardware block configuration of the mobile information terminal 20. The mobile information terminal 20 shown in Figure 4 has an internal camera 21 and a counterfeit determination unit 22. The counterfeit determination unit 22 corresponds to the "determination means." The internal camera 21 is a general-purpose camera equipped in, for example, a smartphone, and is a camera that captures visible images.

The counterfeit determination unit 22 is configured with hardware such as an ASIC, and has a character recognition unit 221, a decode unit 222, and a matching unit 223. Note that the character recognition unit 221, the decode unit 222, and the matching unit 223 may be realized as functional units by the CPU executing a program stored in memory.

The character recognition unit 221 acquires the read data of the internal camera 21 (i.e., the image captured by the internal camera 21) and recognizes characters from the captured image. The decoding unit 222 acquires the read data of the external camera 10 (i.e., the image captured by the external camera 10) and decodes the code from the captured image. The comparison unit 223 compares the character recognition result by the character recognition unit 221 with the decoded result by the decoding unit 222 (in this example, the code decoded result).

Figure 5 is a diagram showing an example of the configuration of the processing block of the reading device 1. The reading device 1 has a first imaging unit 401, a second imaging unit 402, an OCR unit 403, a decoding unit 404, and a comparison unit 405.

The first imaging unit 401 captures an image of the document 30, for example, using the internal camera 21 of the reading device 1. For example, when the user instructs the mobile information terminal 20 to start capturing images, the first imaging unit 401 captures an image of the document 30 using the internal camera 21 and captures a visible image (text information 31) that is the document image.

The second imaging unit 402 captures an image of the document 30, for example, using the external camera 10 of the reading device 1. For example, when the user instructs the mobile information terminal 20 to start capturing an image, the second imaging unit 402 captures an image of the document 30 using the external camera 10 and captures the invisible image (the IR toner image 322 of the code information 32).

The OCR unit 403 performs character recognition using OCR on the visible image data (image of the text information 31) captured by the first imaging unit 401 to generate text data D1 of the text information 31.

The decoding unit 404 obtains the original text data D2 before it was encoded by decoding the invisible image data (a QR code, for example) captured by the second imaging unit 402.

The comparison unit 405 compares the processing result of the OCR unit 403 with the processing result of the decoding unit 404, outputs the comparison result, and displays the comparison result on the screen of the portable information terminal 20, etc. The comparison unit 405 compares the text data 401 decoded from the invisible image (IR toner image 322 of code information 32) with the text data 401 of the visible image as a reference, and outputs the matching rate between the two as the comparison result. The reason for using the invisible image as a reference here is that the initial information of the creation of the document 30 is kept secret, and the coded information can be read accurately. Generally, coded information is recognized with an extremely high probability because it has the function of repairing missing data.

(Processing flow)
As an example, first, the stealth print area in the document 30 is read by the external camera 10. If a QR code is present in the invisible image read by the external camera 10, it is decoded and its contents are obtained. If the QR code is not present, the document 30 may have been copied, so it is determined that the document is not a legitimate document and that there is fraud. If the QR code is successfully decoded, the entire document 30 is then read by the internal camera 21. OCR processing is performed on the visible image data read by the internal camera 21, and the text data recognized by the OCR processing is compared with the decoded result (text data) of the QR code. If the two match at this time, it is determined that there is no fraud such as tampering with the document 30, and if they do not match, it is determined that there is tampering. Note that if there is no text information in the OCR processing, the document 30 is not a legitimate document.

Figure 6 is a diagram showing an example of the flow of the tamper determination process by the reading device 1. When the reading device 1 starts the tamper determination process, it first switches to the external camera 10 (S1).

Then, the reading device 1 outputs a message (S2). For example, if the format of the document 30 is fixed and the QR code is hidden by the image of a logo mark in the lower right position, a message such as "Please take a picture of the logo in the lower right" is output. The message may be displayed on the display screen of the reading device 1, or may be output as audio from the speaker.

Then, the reading device 1 acquires an invisible image from the external camera 10 (S3), and if the invisible image is not a QR code (S4: No), it outputs a message (S5) and determines that tampering has occurred (S6). For example, a message such as "No authentication information" may be output. The message may be displayed on the display screen of the reading device 1, or may be output as audio from a speaker.

In addition, if the invisible image is a QR code (S4: Yes), the reading device 1 decodes the QR code (S7).

If the reading device 1 succeeds in decoding (S8: Yes), it stores the information and outputs a message such as "Reading successful" (S9). If the reading device 1 fails to decode (S8: No), it outputs a message such as "Reading failed. Please try again" (S10), returns to S3, and reacquires the invisible image from the external camera 10. Note that a limit may be set, such as limiting reading failures to three times.

Next, in order to read the entire document 30, the reading device 1 outputs a message such as "Please photograph the entire document" (S11) and switches from the external camera 10 to the internal camera 21.

Next, the reading device 1 acquires a visible image of the entire document 30 from the internal camera 21 (S12) and performs OCR processing on the visible image (S13). If the information generated by the OCR processing is text information (S14: Yes), the reading device 1 compares this text data with the information successfully decoded in S7 (S15).

If the information generated by the OCR process is not text information (S14: No), the reading device 1 outputs a message such as "Please try again" (S16), returns to S12, and reacquires a visible image from the internal camera 21. Note that if text data is not obtained consecutively, for example, twice in a row, the reading device 1 outputs a message such as "There is no text information" (S17), and ends this process.

If the result of the comparison in S15 shows that both pieces of data (the decoded result and the text data obtained by OCR) are text data with the same content (S18: Yes), the reading device 1 outputs a determination result that there has been no tampering (S19). If the two pieces of data are not text data with the same content (S18: No), the reading device 1 outputs a determination result that there has been tampering (S6).

Figure 7 is a diagram showing an example of the configuration of a message screen for tamper determination processing in the reading device 1. The reading device 1 is provided with message screen information to be displayed in each of the OCR processing, QR code processing, and determination processing, and displays a message on the screen according to the result of each processing.

In the OCR process, a message m1 is displayed saying "Please take a picture of the entire document." If the reading fails after the reading, a message m2 is displayed saying "Please try again." If the document cannot be read, a message m3 is displayed saying "There is no text information." If the document is read successfully, a message m4 is displayed saying "The text information has been recognized."

The QR process includes a message m11 saying "Switching to external camera." After switching to the external camera, a message m12 saying "Please capture a specified logo" is displayed. After capturing the image, if there is no QR code, a message m13 saying "No authentication information" is displayed, if reading is unsuccessful, a message m14 saying "Reading failed," and if reading is successful, a message m15 saying "Reading successful."

During the determination process, the message m21 "Determining" is displayed. After the determination, if there is a mismatch, the message m22 "Fraud suspected" is displayed, and if there is a match, the message m23 "No falsification or other fraudulent activity" is displayed.

Figure 8 shows an example of a stealth print of a document 30. One of the things that must not be tampered with in a contract document is the amount, i.e., a numerical value. On the same page of the document 30, there is text information 31 such as the amount printed as a visible image, and code information 32 created by a stealth print or the like. The numerical value of the text information 31 can be confirmed by the human eye under visible light.

On the other hand, the code information 32 is displayed by the human eye under visible light as, for example, a colored picture or black paint. By reading the code information 32 with the reading device 1, the QR code concealed in the code information 32 is decoded and the numerical value 333 shown in FIG. 8 is extracted. Therefore, since the numerical value of the text information 31 and the numerical value of the text data 333 are the same, it can be determined that no tampering has occurred.

(Example 1 of tampering determination)
Next, an example of a method for determining whether or not data has been tampered with will be shown. As an example, tampering using the number of digits in numeric data will be shown.

Figure 9 is a diagram showing an example of tampering determination. One of the important items that must not be tampered with is the amount. A popular way to tamper with an amount is to change the number of digits. The amount is tampered with by adding zeros to the end of the written amount. To prevent this type of tampering, a QR code that reveals the number of digits in the number is concealed in the code information 32. By comparing the QR code with the decoded information, it is possible to confirm that a number has been added to the end of the amount.

Figure 9 (a) shows an example where the number of digits in both visible and invisible information is the same. In this case, it is determined that no tampering has occurred.

On the other hand, in Figure 9 (b), the number of digits in some of the visible information has increased compared to the invisible information. In this example, "00" has been added to the end of "123450" as indicated by the dashed line. Because text data 333 is "123450", it is determined that the amount has been artificially tampered with by adding "00" to the end.

Although the numerical data written in contract documents generally includes more than just monetary amounts, if the position where the amount is written is preset based on the document format information when reading the visible information, it is possible to selectively compare only the numerical values in the required positions. An example of selectively comparing only the information in the required positions is shown in "Tampering Determination Example 3."

(Example 2 of tampering determination)
The amount can be tampered with not only by the number of digits. For example, by handwriting or adding to some fonts, it is possible to change a value from 1 to a higher value. This type of tampering is likely to be targeted because it can greatly change the amount by making it to the highest value.

Figure 10 shows another example of tampering determination. In the case of the font shown in the document in Figure 10(a), a small modification to "1" can easily be changed to "7." Also, in the case of the font shown in the document in Figure 10(b), a small modification to "1" can easily be changed to "9." This type of tampering can significantly change the numerical value, potentially causing great damage.

In this case, the system focuses on the highest-order digit in the monetary value, and compares the highest-order value of the monetary data detected in the document between the invisible image information and the visible image information. If there is no match with the invisible image, it is determined that the document has been tampered with. With this method, document tampering can be confirmed by rewriting the highest-order digit.

(Tampering Determination Example 3)
In documents that require confirmation of falsification, the second most important item after the amount is text information (required data) such as the contractor, company name, address, etc. When checking for falsification of such information, for example, the following configuration is used.

Figure 11 is a diagram showing a modified example of the functional blocks of the reading device 1. In Figure 11, the same components as in the embodiment are given the same numbers. The parts with the same numbers have already been explained, so the explanation here will be omitted as appropriate.

The reading device 1 shown in FIG. 11 includes a storage unit 501 that stores layout information. The layout information is layout information of the document 30, and has layout information according to the type of document 30, such as an invoice or a resident's card.

The reading device 1 shown in FIG. 11 extracts the necessary data 502 and 503 from the visible image and the invisible image, respectively, as follows.

Required data 503 is text data extracted by decoding invisible image data. Required data 502 is text data selected and extracted by OCR unit 403. OCR unit 403 reads layout information from memory unit 501, and extracts text data of required items (positions where fraud check is required) from the layout information from the OCR results of the visible image data. For example, OCR unit 403 refers to the position of the required data on the page based on the layout information of the document format, and selectively converts the information into text.

The comparison unit 405 compares the processing result (required data) of the OCR unit 403 with the processing result (required data) of the decoding unit 404, and outputs the comparison result.

Note that the necessary data 502 and 503 may be extracted by the user selecting and specifying a position from the target text data.

This makes it possible to properly and efficiently check for falsification in items that require checking for falsification depending on the document format. For example, in the work of judicial scriveners, images of contract documents can be taken on the go without having to bring them back to the office, allowing for a quick and proper check for falsification.

(Variation 1)
In the embodiment, the determination of tampering is made based on whether the data match or not in the reading device 1. In the first modification, an example will be shown in which the reading device 1 calculates a match rate and determines whether tampering has occurred based on the match rate.

Figure 12 is a diagram showing an example of the functional block configuration of the reading device 1 according to the first modified example. In Figure 12, the same numbers are used for the configuration that is common to the embodiment. The parts with the same numbers have already been explained, so the explanation here will be omitted as appropriate.

The reading device 1 shown in FIG. 12 includes a match rate calculation unit 601 and a display unit 602. The match rate calculation unit 601 calculates the match rate of the text data based on the comparison result of the comparison unit 405. The display unit 602 displays information on a display screen, such as the comparison result and the match rate (calculated result of the match rate), to enable the user to determine whether the document has been tampered with.

Figure 13 is a diagram showing an example of a process flow for determining whether or not data has been tampered with by the reading device 1 of the first modified example. Figure 13 shows a process that is added to the flow shown in Figure 6.

In the flow shown in FIG. 13, in the comparison in S15, the matching rate of both data is calculated (S151). Then, if the matching rate of both data is greater than a preset value (S152: Yes), a determination result that there is no tampering is output (S19).

On the other hand, if the matching rate between the two data is equal to or lower than a preset value (S152: No), a determination result indicating tampering is output (S6).

The display unit 602 displays information on the display screen to enable the user to determine whether the document has been tampered with. For example, the display screen displays the determination result and the matching rate. Here, an example of the matching rate is shown.

Figure 14 is a diagram showing an example of a comparison result displayed on the screen of the reading device 1 of variant example 1. As shown in Figure 14, the screen 23 of the reading device 1 displays the match rate as an example of the comparison result. In this example, the match rate of both data is 98%, so the information of 98% is displayed.

In this way, in variant 1, the comparison result between the invisible information and the visible information is finally displayed to the user. The final judgment may be the result of the judgment criteria set in the reading device 1, but it may also be displayed as a match rate so that the user can make the judgment themselves. For example, the image read by the first imaging unit 401 is converted to text data by the OCR unit 403, but even with a normal font, OCR may perform unintended recognition depending on the contrast, resolution, color, etc. at the time of output. The same applies when the text is partially dirty. Therefore, by displaying the match rate, the user can visually check the reliability of the document by comparing it with the state of the document.

Second Embodiment
A camera that performs wireless communication (such as a Web camera) may be used as the external camera 10. In this case, the portable information terminal 20 acquires an image from the external camera 10 via wireless communication, and performs a process of determining whether the image has been tampered with or otherwise fraudulent on the portable information terminal 20 side.

Fig. 15 is a diagram showing an example of the external configuration of the entire reading device according to the second embodiment. The reading device 2 shown in Fig. 15 has an external camera 10a and a mobile information terminal 20a. The external camera 10a and the mobile information terminal 20a communicate with each other via wireless communication 1000. Here, the mobile information terminal 20a is a general-purpose device such as a smartphone, and is capable of communicating with the external camera 10a via, for example, Bluetooth (registered trademark), WiFi, or other short-range wireless communication.

Figure 16 is a diagram showing an example of the hardware block configuration of the external camera 10a. The external camera 10a has an antenna 600, a transceiver unit 601, an MPU 602, a camera 603, and an IR (near infrared) LED 604. The external camera 10a is powered by a battery or the like.

Camera 603 corresponds to an external camera module, and IR LED 604 corresponds to near-infrared LED 13.

The transmitter/receiver 601 communicates with the mobile information terminal 20a via the antenna 600 and transmits images captured by the external camera 10a to the mobile information terminal 20a.

The MPU 602 controls the camera 603 and the IR LED 604, and transmits the image captured by the camera 603 from the transmission/reception unit 601 to the mobile information terminal 20a.

The mobile information terminal 20a is a general-purpose device, and the functions of the mobile information terminal 20 are realized by applications.

In the second embodiment, the external camera 10a and the mobile information terminal 20a are electrically separate, so it is possible to capture images with the external camera 20a fixed in a position that is easy to see.

In the first embodiment, the external camera 20 and the mobile information terminal 20 are used together to make the entire device more compact and improve usability, but in the second embodiment, they are separated, which increases the flexibility of each and improves operability.

Although the embodiments and modifications of the present invention have been described above, the embodiments and examples are presented as examples and are not intended to limit the scope of the invention. These novel embodiments and examples can be embodied in various other forms, and various omissions, substitutions, and modifications can be made without departing from the gist of the invention. These embodiments and examples are included in the scope and gist of the invention, and are included in the scope of the invention and its equivalents described in the claims.

REFERENCE SIGNS LIST 1 Reading device 10 External camera 20 Portable information terminal 21 Internal camera 22 Counterfeit determination unit 221 Character recognition unit 222 Decoding unit 223 Collation unit

JP 2006-246157 A

Claims (10)

a reading means for irradiating invisible information hidden in a reading target with invisible light corresponding to the invisible information to read the invisible information ;
A portable information processing terminal;
having
The portable information processing terminal includes:
a collating unit for collating read data of visible information read from the read target by the portable information processing terminal with read data of invisible information received from the reading means,
outputting a determination result indicating fraud of the read target based on the collation result of the collation unit ;
A reading device comprising: the reading means is detachable from the portable information processing terminal;
2. The reading device according to claim 1, wherein the reading device is a reading device for reading a signal. The reading means and the portable information processing terminal are connected by wireless communication.
2. The reading device according to claim 1, wherein the reading device is a reading device for reading a document. the reading means includes a first imaging unit that receives reflected light of the invisible light irradiated onto the reading target and images the invisible information ;
the portable information processing terminal has a second imaging unit that receives reflected visible light from the reading target and images the visible information ;
the portable information processing terminal outputs a determination result indicating tampering with the read target based on a collation result obtained by the collation unit comparing the read data of the invisible information captured by the first imaging unit with the read data of the visible information captured by the second imaging unit.
4. A reading device according to claim 1, wherein the reading device is a reading device for reading a document. The portable information processing terminal includes:
a decoding unit that decodes code information that is read data of the invisible information captured by the first imaging unit;
a character recognition unit that recognizes characters in a document image that is the read data of the visible information captured by the second imaging unit;
having
the collation unit collates text data extracted by the decoding of the code information by the decoding unit with text data obtained by character recognition by the character recognition unit ;
5. The reading device according to claim 4. The collation unit is
a determination result indicating the fraud of the read object is output by comparing the number of digits of the numeric data , which is the text data extracted by the decoding unit, and the numeric data, which is the text data obtained by character recognition by the character recognition unit, with each other;
6. The reading device according to claim 5, The collation unit is
a comparison of the highest digit of each of the numerical data, which is the text data extracted by the decoding unit, and the numerical data, which is the text data obtained by character recognition by the character recognition unit, and outputting a determination result indicating the fraudulence of the read object;
6. The reading device according to claim 5, The character recognition unit recognizes a character at a position where fraud confirmation is performed in the read object based on layout information of the read object,
The collation unit is
a determination result indicating the fraudulent nature of the read target is output by comparing the text data extracted by the decoding unit with the text data obtained by the character recognition unit through character recognition;
6. The reading device according to claim 5, The collation unit is
calculating a matching rate between the text data extracted by the decoding unit through the code information decoding and the text data obtained through the character recognition by the character recognition unit, and outputting the calculation result of the matching rate;
9. A reading device according to any one of claims 5 to 8, characterized in that: A step in which a reading means irradiates invisible information hidden in a read target with invisible light corresponding to the invisible information to read the invisible information ;
A portable information processing terminal reads visible information from the read target;
a step of the portable information processing terminal comparing read data of the visible information read from the read target with read data of the invisible information received from the reading means;
a step of outputting a determination result indicating tampering of the read target based on a comparison result between the read data of the visible information and the read data of the invisible information by the portable information processing terminal ;
The method includes:

Images