JP7376127B2 - Information processing device, information processing system, information processing method and program - Google Patents

Description

The present invention relates to an information processing device, an information processing system, an information processing method, and a program, and particularly relates to an information processing device, an information processing system, an information processing method, and a program that can be used when creating a password.

With the development of computer networks, many authentication systems are in common use. Password-based account protection has been around for a long time and is still used in most systems today. Generally, password input is often performed by directly operating an input device such as a keyboard or touch screen, or by recognizing voice collected with a microphone or the like. These input methods are relatively easy to observe by a third party, such as secretly photographing or eavesdropping from behind, and there is a risk of leakage.

In addition, in order to protect accounts that use passwords, it is recommended and common to change passwords to different passwords at regular intervals, which is a burden on users in this day and age where individuals use many systems. . In order to reduce this burden, users should refrain from using more risky passwords, such as using simple passwords such as date of birth, reusing passwords on multiple systems, or storing passwords in software provided by third parties. It tends to happen. Damages caused by identity theft, caused by using weak passwords or reusing passwords, occur on a daily basis.

However, safer and more accurate methods using biometric authentication have not yet become widespread. Therefore, there is a need for an authentication method that is secure and highly compatible with existing systems. Nowadays, more secure authentication using biometric information is available, but it requires specialized equipment and systems, and it is generally difficult to handle biometric information, which is personal information. The provision may be refused by the user.

Patent Document 1 discloses a method of generating passwords necessary for logging in, unlocking, user authentication, etc. using various devices with touch panels, and maintaining security using the passwords. Furthermore, this document also discloses that the obtained information is combined and the combined data is encoded using a hash function or the like to generate a password.

Further, Patent Document 2 discloses a CMOS sensor that photographs a subject and captures a part of image information corresponding to the subject, an image recognition unit that recognizes a part of the image information captured by the CMOS sensor, and a an analysis unit that analyzes temporal changes in the subject corresponding to part of the image information based on recognition results from the image recognition unit; and a memory unit that stores character information corresponding to the temporal changes in the subject. and a control unit that reads the corresponding character information from within the memory unit based on the analysis result of the analysis unit, and a display unit that displays the character information read by the control unit. A mobile terminal device is disclosed. Thereby, it is possible to photograph the movement of the user's mouth and input characters corresponding to the photographed image data.

Special table 2017-504133 publication Japanese Patent Application Publication No. 2007-087291

However, it is still not possible to generate highly secure password generation elements or the password itself.

The present invention has been made to solve these problems, and provides an information processing device, an information processing system, an information processing method, a program, etc. that can generate a highly secure password generation element or password. The purpose is to provide.

The information processing device according to the first aspect of the present invention extracts features of the object from a plurality of image data acquired for the object, and extracts features of the object from each of the plurality of image data acquired for the object. a feature extraction unit that obtains an identification code of
and a generation unit that generates a password generation element by combining the plurality of identification codes.

An information processing system according to a second aspect of the present invention includes a layer acquisition unit that acquires a plurality of image data acquired for a subject;
a feature extraction unit that extracts features from each of the plurality of image data and obtains a plurality of identification codes respectively corresponding to the extracted features of the subject;
and a generation unit that generates a password generation element by combining the plurality of identification codes.

An information processing method according to a third aspect of the present invention includes the steps of: extracting features of each object from a plurality of image data acquired for the object; Obtain the identification code of
A password generation element is generated by combining the plurality of identification codes.

A program according to a fourth aspect of the present invention extracts features of each of a plurality of image data acquired for the subject, and identifies a plurality of images corresponding to the extracted features of the subject. The process of obtaining the code,
A computer is caused to execute a process of combining the plurality of identification codes to generate a password generation element.

According to the present disclosure, it is possible to provide an information processing device, an information processing method, and a program that can generate a highly secure password generation element or password.

1 is a block diagram showing the configuration of an information processing device according to a first embodiment. FIG. FIG. 2 is a block diagram showing the configuration of an information processing device according to a second embodiment. FIG. 7 is a diagram illustrating a configuration example of a password generation system according to a third embodiment. 12 is a flowchart showing a preparation process for generating a password according to the third embodiment. 7 is a diagram showing various combinations of photographed images, line segment data, and identification codes according to Embodiment 3. FIG. 12 is a flowchart illustrating a process for generating a password according to the third embodiment. FIG. 9 is a diagram illustrating a conversion process for password adaptation according to the third embodiment. 12 is a flowchart showing a login method according to registered password expressions according to the third embodiment. 1 is a block diagram illustrating a configuration example of an information processing device 10 and the like according to some embodiments. FIG.

Embodiment 1
Embodiments of the present invention will be described below with reference to the drawings.
FIG. 1 is a block diagram showing the configuration of an information processing apparatus according to the first embodiment.
The information processing device 10 may be used to analyze an image taken of a subject and create a password generation element based on the analysis result. The information processing device 10 may be realized by a computer including a processor, a memory, and the like. The information processing device 10 may include an external imaging unit (eg, a camera) that can be connected via a wired or wireless network, or an imaging unit built into the device.

The information processing device 10 performs feature extraction to extract features of each of the plurality of image data acquired for the subject and obtain a plurality of identification codes corresponding to the extracted features of the subject. 11, and a generation section 13 that generates a password generation element by combining the plurality of identification codes.

The subject may include a part of the body or face, for example, the area around the mouth, but is not limited thereto, and other parts may also be used. The oral area may include the lips, teeth, tongue, etc. The identification code herein may be one or more arbitrary numbers, symbols, characters, or a combination thereof. An “identification code” corresponding to each extracted feature of the subject is assigned so that the extracted feature can be uniquely identified. The password generation element can be converted into a password through a subsequent conversion process (described later).

In some embodiments, the plurality of image data acquired for the subject may include different aspects of the same subject, or the appearance before and after a change. Specifically, the plurality of image data acquired for the subject include image data of the shape of the subject in a first pattern, and image data of the shape of the subject in a second pattern different from the first pattern. It may also include image data taken. That is, the subject may be able to change shape. Furthermore, the plurality of image data acquired for the subject include image data of a first pattern of the mouth shape and images of a second pattern of the mouth shape different from the first pattern. May contain data.

According to the first embodiment described above, it is possible to extract features from a plurality of image data acquired for a subject and create a highly secure password generation element from a combination of corresponding identification codes. .

Embodiment 2
FIG. 2 is a block diagram showing the configuration of the information processing device according to the second embodiment.
The information processing device 10 may be used to analyze an image taken of a subject and create a password based on the analysis result. The information processing device 10 performs feature extraction to extract features of each of the plurality of image data acquired for the subject and obtain a plurality of identification codes corresponding to the extracted features of the subject. a generating unit 13 that combines the plurality of identification codes to generate a password generating element; and a converting unit 14 that applies a processing rule to the password generating element to convert the password generating element into a password. and further provided. In this embodiment, a converter 14 is added compared to the first embodiment.

The converting unit 14 converts the password generating elements into a digest using processing rules (e.g., a hashing algorithm, in particular the MD5 algorithm (message digest algorithm 5). In some embodiments, the converting unit 14 The method further includes an adapting unit 141 that adapts generation factors of the converted password so that the converted password conforms to password conditions (for example, number of characters, conditions including specific characters, etc.) of an authentication server. The adapting unit 141 of the converting unit 14 can adapt the password generation elements by the user setting such password conditions via an input device (for example, a keyboard, a mouse, etc.). can.

According to the second embodiment described above, features are extracted from a plurality of image data acquired for a subject, a highly secure password generation element is created from a combination of corresponding identification codes, and a password A highly secure password can be generated using a generation algorithm. Furthermore, the password can be tailored to meet the password requirements of various authentication servers.

Embodiment 3
FIG. 3 is a diagram showing a configuration example of a password generation system according to the third embodiment. The password generation system 1 according to the third embodiment can be used when setting up an account (particularly when setting a password) or during subsequent login to an authentication server that provides a cloud service. The password generation system 1 converts and processes data obtained by extracting shape features around the mouth, such as lips, teeth, and tongue, from images acquired by an image acquisition unit 30 such as a camera, according to predetermined processing rules. , it is possible to generate a password that cannot be easily guessed by a third party. The password generation system 1 can be assumed to be used by an individual using a personal computer or a smartphone, or as a password input device in a device that uses password authentication (for example, an authentication server). Moreover, since the password generation system 1 according to the third embodiment does not use biometric information for authentication, it is expected that it will be used even by users who avoid using biometric authentication that would identify an individual.

The image acquisition section 30 is an imaging section such as a camera. The image acquisition unit 30 may be a camera built into a smartphone or a computer, or may be a camera connected to the password generation device 100 via a network. The feature point holding unit 120 is realized by any storage means such as a hard disk. The password generation device 100 includes a feature point extraction section 110, a feature point matching section 130, and a code string conversion section 140. The feature point extraction unit 110, the feature point matching unit 130, and the code string conversion unit 140 can be implemented by software, but in other embodiments, they can also be implemented by hardware to speed up processing. In FIG. 3, the feature point holding unit 120 is a storage unit built into the password generation device 100, but in other embodiments, it may be an external storage unit connected via a network.

The configuration of the password generation device 100 will be explained below.
The password generation device 100 includes a feature point extraction section 110, a feature point holding section 120, a feature point matching section 130, and a code string conversion section 140. In some embodiments, the password generation device 100 may include an image acquisition unit 30, such as a smartphone. The image acquisition unit 30 is configured with a camera or the like, and can acquire an image of the entire or part of the user's face (for example, around the mouth). The image around the user's mouth acquired by the image acquisition unit 30 is passed to the feature point extraction unit 110. The feature point extraction unit 110 extracts feature points from the entire or partial image of the user's face within the photographed image. The extracted feature point data is output to the feature point holding section 120 and the feature point matching section 130.

The feature point matching unit 130 matches the extracted feature point data with the output of the feature point holding unit 120, which is the input to be matched. The code string generation unit 131 generates a code string based on the results of the verification performed by the feature point matching unit 130, and sends the generated code string to the code string conversion unit 140. The code string conversion unit 140 receives the code string, converts it into a password, and sends the password to the authentication server 200 via a wired or wireless network. The authentication server 200 may be an external server that provides various cloud services (for example, data or software), and may be located on the cloud side.

Next, the operation of the password generation device according to the second embodiment will be explained.
FIG. 4 is a flowchart illustrating the preparation process for generating a password.
First, the user uses a camera such as a smartphone or a computer to register image data of various mouth shapes, which will be data to be compared, in the storage unit of the device (in this example, the feature point holding unit 120). do. Specifically, when the user photographs an image around the user's mouth using the image acquisition unit 30, for example, a camera (step S101), the image acquisition unit 30 sends the photographed image to the feature point extraction unit 110. The feature point extraction unit 110 extracts feature points from the captured image using known image recognition processing, and stores the extracted feature point data in the feature point storage unit 120 (step S102).

An example of the image at this time is shown in the upper left column of FIG. The feature point extraction unit 110 extracts the lips, the center line of the dentition, and the contour line of the tongue, and obtains line segment information (feature point data) as shown in the center column of FIG. At this time, the biometric information deletion unit 111 of the feature point extraction unit 110 may generate line segment information (feature point data) by deleting some of the features that lead to personal identification. For example, if there is a missing tooth in the captured image, the biometric information deletion unit 111 can perform operations such as complementing the missing tooth to generate a dentition or narrowing the contour of the tongue inward. . The feature point extraction unit 110 assigns an identification code as shown in the right column of FIG. 5 to the thus generated line segment (set of feature points) data and stores it in the feature point storage unit 120. This identification code is a code that uniquely identifies line segment data. In this example, the number of codes is three alphabetic characters, but is not limited to this, and may be one or more arbitrary numbers, symbols, characters, or a combination thereof. Note that, as used herein, a "line segment" may include not only a straight line but also a curved line.

Returning to FIG. 4 again, the explanation will be continued. Further, after changing the shape of the mouth, the user photographs an image around the user's mouth as a second pattern (step S103), and sends the photographed image to the feature point extraction unit 110. The feature point extraction unit 110 extracts feature points from the captured image, and stores the extracted feature point data in the feature point storage unit 120 (step S104).

An example of the image at this time is shown in the middle column on the left side of FIG. The feature point extraction unit 110 extracts the lips, the center line of the dentition, and the contour line of the tongue, and obtains line segment information as shown in the middle row in the center of FIG. At this time, the biometric information deletion section 111 of the feature point extraction section 110 can use known image processing technology to recognize features that lead to personal identification and delete them. The feature point extraction unit 110 assigns an identification code as shown in the middle column on the right side of FIG. This identification code is a code that uniquely identifies line segment data.

Furthermore, after changing the shape of the mouth, the user may take a picture of the area around the user's mouth (lower left row in FIG. 5) as a third pattern, and send the taken image to the feature point extraction unit 110. . These processes can be repeated as necessary. Finally, several patterns of images around the mouth and corresponding line segment data and identification codes are associated with each other and stored in the feature point holding unit 120.

In the example of FIG. 5, three different images around the mouth are acquired, but the number of images around the mouth to be acquired is not particularly limited. It is desirable to acquire at least two images with different mouth shapes.

Next, the process of generating a password will be described with reference to FIG. When generating a password for using an external cloud service, the user first determines a combination of patterns to be used to express the password from among a plurality of registered mouth shape patterns. For example, a case where the user selects the combination of the first and second patterns in the left column of FIG. 5 will be described below. The user sequentially executes the password expressions (that is, by moving the shape of the mouth), and the image acquisition unit 30 sequentially photographs them, as in the case of registration. Specifically, the user first moves his or her mouth in the shape of the mouth of the first pattern, and then photographs the area around the mouth of that shape using the image acquisition unit 30 (step S201). The photographed image data is converted into line segment data by the feature point extraction unit 110. The feature point matching unit 130 refers to a large number of line segment data held in the feature point holding unit 120, matches the extracted line segment data, and determines line segment data that approximates the line segment data. , obtains an identification code corresponding to the approximate line segment data (step S202). When the feature point matching unit 130 refers to the feature point holding unit 120 and finds line segment data that approximates the extracted line segment data, the feature point matching unit 130 uses a display or a speaker to notify that the matching is successful. You may notify the person. In addition, the feature point matching unit 130 refers to the feature point holding unit 120, and if line segment data that approximates the extracted line segment data cannot be found, a display or speaker etc. The information may be notified to the user via the following means. Thereby, the user can change the shape of the mouth to the correct shape, photograph the area around the mouth of that shape again using the image acquisition unit 30, and try again until matching is successful.

Next, the user changes the shape of the mouth in the second pattern and photographs the area around the mouth of that shape using the image acquisition unit 30 (step S203). The photographed image data is converted into line segment data by the feature point extraction unit 110. The feature point matching unit 130 refers to a large amount of image data held in the feature point holding unit 120, matches it with the extracted line segment data, and determines line segment data that approximates the line segment data. An identification code corresponding to the approximate line segment data is obtained (step S204).

In this example, the first and second images in FIG. 5 are detected, and the corresponding identification codes "abc" and "def" are obtained, respectively. Thereafter, the code string generation unit 131 of the feature point matching unit 130 obtains a code string “abcdef” that is a concatenation of these bits (step S205). Although a simple concatenation of two identification codes is used here, the generation method may be implemented using any other method. Furthermore, the number of patterns to be combined is not limited to two, but may be three or more. The feature point matching section 130 supplies the generated code string to the code string converting section 140. The code string conversion unit 140 receives this code string, performs various conversion processes as shown in FIG. 7, and generates a final password.

FIG. 7 shows the results of each process performed by the code string converter 140. The code string conversion unit 140 first converts the input code string into a digest using the MD5 algorithm (message digest algorithm 5) as a password generation algorithm (step S206). In this example, MD5 is used as the password generation algorithm, but this algorithm is not limited to MD5; if the original string is difficult to guess, other algorithms (for example, SHA (Secure Hashing Algorithm), etc.) can be used. known hashing algorithms) may be used.

The generated digest may not meet the password requirements and cannot be used depending on the external authentication server. Therefore, the password condition adaptation unit 141 of the code string conversion unit 140 performs additional conversion on the generated digest (step S207). For example, FIG. 7 shows an example of a conversion result when there is a condition such as "16 characters or less and includes uppercase alphabetic characters and symbols." Various conversion processes are performed on the digest string, such as "delete the 17th character and beyond," "make the first alphabetic character uppercase," and "replace the last number with "$." ing. The password condition adaptation unit 141 receives the password condition set by the user, and executes various processes as described above so as to satisfy the password condition. The code string conversion unit 140 registers the finally generated character string as a password in an external authentication server. This completes the task of setting and registering a password for the authentication server that provides the cloud service when setting up the account.

In the password generation process described above, the first pattern and the second pattern are the combination of the first and second patterns in the left column of FIG. 5. However, the password generation process is not limited to this. Combinations of patterns may also be used. Also, it does not have to be a combination of different patterns, but a combination that includes the same pattern (for example, a combination of the first pattern and the first pattern in the left column of FIG. 5, or a combination of the second pattern and the third pattern). and the second pattern). If the same pattern is consecutive, after a predetermined time after photographing the first pattern (for example, the first pattern in the left column in FIG. 5), the next pattern that is the same as the first pattern (for example, the first pattern in the left column in FIG. By photographing the first pattern in the row of , the device can recognize that the same pattern has been performed twice in a row. In another embodiment, when the same pattern is consecutive, after photographing the first pattern (for example, the first pattern in the left column of FIG. 5), the user operates a button or the like to The device is informed that the first pattern is finished and the next pattern, which is identical to the first pattern, can be photographed.

FIG. 8 is a flowchart showing a login method according to the registered password expression according to the third embodiment.
In a cloud service where a password has been registered as described above, when the user enters the password for login, by expressing the registered password, the same password as at the time of registration will be generated through the same processing process as above, and the same password will be sent to the authentication server. I can log in. In this case, the password generation device 100 functions as a password providing device.

The user first moves his mouth in the shape of the first pattern of mouth registered with the password as described above, and uses the image acquisition unit 30 to photograph the area around the mouth of that shape (step S301). The photographed image data is converted into line segment data by the feature point extraction unit 110. The feature point matching unit 130 refers to a large amount of image data held in the feature point holding unit 120, matches it with the extracted line segment data, and determines line segment data that approximates the line segment data. An identification code corresponding to the approximate line segment data is obtained (step S302).

Next, the user changes the shape of the mouth in the second pattern and photographs the area around the mouth of that shape using the image acquisition unit 30 (step S303). The photographed image data is converted into line segment data by the feature point extraction unit 110. The feature point matching unit 130 refers to a large amount of image data held in the feature point holding unit 120, matches it with the extracted line segment data, and determines line segment data that approximates the line segment data. An identification code corresponding to the approximate line segment data is obtained (step S304).

In this example, the first and second images in FIG. 5 are detected, and corresponding identification codes "abc" and "def" are obtained, respectively. Thereafter, the code string generation unit 131 of the feature point matching unit 130 obtains a code string “abcdef” that is a concatenation of these bits (step S305). The code string conversion unit 140 first converts the input code string into a digest using the MD5 algorithm (message digest algorithm 5) as a password generation algorithm (step S306). The password condition adaptation unit 141 of the code string conversion unit 140 performs additional conversion on the generated digest (step S307). The code string conversion unit 130 provides the finally generated character string to an external authentication server as a password. Thereafter, if the registered password and the input password match, the authentication server 200 returns authentication permission to the password generation device 100.

According to the embodiment described above, password input is expressed by a combination of shapes around the mouth, and the imaging unit is placed at a predetermined distance. The risk of leakage is low. In addition, the image data for verification that is registered in advance as a password reflects personal differences in the shape of the mouth (for example, the degree to which the mouth opens, the degree to which the tongue extends, etc.), which can be changed by the registrant. Therefore, it is difficult for a third party to create the same verification data. Furthermore, it is difficult for a third party to imitate and reproduce the password expression.

The final password that is generated has no relation to any personal information that identifies the user, such as date of birth or name, and is generated each time a password is set, so it is necessary to remember the password itself. There is no. Furthermore, since the password can be made sufficiently long in the process of converting and processing the password, the possibility that the generated password will coincidentally match another person's password is extremely low, resulting in high security. Furthermore, since only a still image of the shape around the mouth is analyzed, there is no need for dynamic and sophisticated recognition processing such as analysis of mouth movements during vocalization, and features that can lead to the identification of biological information are removed. Therefore, it is possible to prevent rejection of registration.

Other Embodiments In other embodiments, it is also possible to separate the components that perform processing after the image acquisition unit 30 at an arbitrary position and place them as separate devices on the cloud. By doing so, it becomes possible to reduce the load on the device used and prevent theft of registered data. Furthermore, in another embodiment, it is possible to visually isolate the situation in which the user photographs with the image acquisition unit from the surroundings, thereby making imitation impossible and further increasing safety. For example, an image acquisition section that acquires images around the user's mouth may be configured by installing an imaging section such as a small camera inside a mask-shaped shield.

Each configuration of the password generation device 100 may be realized by dedicated hardware. Moreover, a part or all of each component may be realized by a general-purpose or dedicated circuit, a processor, etc., or a combination thereof. These may be configured by a single chip or multiple chips connected via a bus. A part or all of each component of each device may be realized by a combination of the circuits and the like described above and a program. Further, as the processor, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an FPGA (field-programmable gate array), etc. can be used.

FIG. 9 is a block diagram showing a configuration example of the information processing device 10 and the password generation device 100 (hereinafter referred to as the information processing device 10 etc.). Referring to FIG. 9, the information processing apparatus 10 and the like include a network interface 1201, a processor 1202, and a memory 1203. Network interface 1201 is used to communicate with other network node devices that make up the communication system. Network interface 1201 may be used to conduct wireless communications. For example, the network interface 1201 may be used to perform wireless LAN communication defined in the IEEE 802.11 series or mobile communication defined in the 3rd Generation Partnership Project (3GPP). Alternatively, network interface 1201 may include, for example, a network interface card (NIC) compliant with the IEEE 802.3 series.

The processor 1202 reads software (computer program) from the memory 1203 and executes it, thereby performing the processing of the information processing apparatus 10 and the like described using the flowchart or sequence in the above embodiment. The processor 1202 may be, for example, a microprocessor, an MPU (Micro Processing Unit), or a CPU (Central Processing Unit). Processor 1202 may include multiple processors.

Memory 1203 is configured by a combination of volatile memory and nonvolatile memory. Memory 1203 may include storage located remotely from processor 1202. In this case, processor 1202 may access memory 1203 via an I/O interface (not shown).

In the example of FIG. 9, memory 1203 is used to store software modules. By reading these software module groups from the memory 1203 and executing them, the processor 1202 can perform the processing of the information processing apparatus 10 and the like described in the above embodiments.

As explained using FIG. 4, FIG. 6, and FIG. 8, each of the processors included in the information processing device 10, etc. includes one or Run multiple programs.

In the examples above, the program may be stored and provided to the computer using various types of non-transitory computer readable media. Non-transitory computer-readable media includes various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs, CD-R/W, DVD (Digital Versatile Disc), BD (Blu-ray (registered trademark) Disc), semiconductor memory (e.g. mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM ( Random Access Memory)). The program may also be provided to the computer on various types of transitory computer readable media. Examples of transitory computer-readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable medium can provide the program to the computer via wired communication channels, such as electrical wires and fiber optics, or wireless communication channels.

Note that the present invention is not limited to the above embodiments, and can be modified as appropriate without departing from the spirit.

Part or all of the above embodiments may be described as in the following additional notes, but are not limited to the following.
(Additional note 1)
a feature extraction unit that extracts features of each of the plurality of image data acquired for the subject and obtains a plurality of identification codes corresponding to the extracted features of the subject;
An information processing apparatus, comprising: a generation unit that generates a password generation element by combining the plurality of identification codes.
(Additional note 2)
The information processing apparatus according to supplementary note 1, further comprising a conversion unit that converts the password generation element into a password by applying a processing rule to the password generation element.
(Additional note 3)
The plurality of image data acquired for the subject include image data of a first pattern of the mouth shape and images of a second pattern of the mouth shape different from the first pattern. The information processing device according to supplementary note 1 or 2, which includes data.
(Additional note 4)
a holding unit that holds the plurality of identification codes in association with the plurality of extracted features;
a matching unit that obtains the identification code associated with a feature that is similar to the newly extracted feature by matching the plurality of retained features with the newly extracted feature;
The information processing device according to any one of Supplementary Notes 1 to 3, further comprising:
(Appendix 5)
The information processing device according to supplementary note 2, wherein the conversion unit further includes an adaptation unit that adapts generation elements of the converted password so that the converted password conforms to password conditions of an authentication server.
(Appendix 6)
The information processing device according to any one of Supplementary Notes 1 to 5, wherein the feature extraction unit further includes a deletion unit that deletes a part of the feature so as to identify the subject.
(Appendix 7)
a layer acquisition unit that acquires a plurality of image data acquired for the subject;
a feature extraction unit that extracts features from each of the plurality of image data and obtains a plurality of identification codes respectively corresponding to the extracted features of the subject;
An information processing system, comprising: a generation unit that generates a password generation element by combining the plurality of identification codes.
(Appendix 8)
The information processing system according to appendix 7, further comprising a conversion unit that generates a password using a hash algorithm for the password generation element.
(Appendix 9)
extracting features of each of the plurality of image data acquired for the subject, and obtaining a plurality of identification codes respectively corresponding to the extracted features of the subject;
An information processing method that generates a password generation element by combining a plurality of identification codes that respectively correspond to the extracted features.
(Appendix 10)
A process of extracting features of each of the plurality of image data obtained for the object and acquiring a plurality of identification codes respectively corresponding to the extracted features of the object;
A program that causes a computer to execute a process of generating a password generation element by combining the plurality of identification codes.

1 Password generation system 10 Information processing device 11 Feature extraction unit 13 Generation unit 14 Conversion unit 30 Image acquisition unit 100 Password generation device 110 Feature point extraction unit 111 Biometric information deletion unit 120 Feature point storage unit 130 Feature point matching unit 131 Code string generation Part 140 Code string conversion unit 141 Password condition adaptation unit 200 Authentication server

Claims (10)

extracting features of the subject from first image data acquired for the subject, and obtaining a first identification code corresponding to the extracted features of the subject;
Extracting features of the object from second image data acquired for the object after changing the shape of at least a portion of the object, and performing second identification corresponding to the extracted features of the object. a feature extraction unit that obtains the code;
An information processing apparatus, comprising: a generation unit that generates a password generation element by combining the first identification code and the second identification code. The information processing apparatus according to claim 1, further comprising a conversion unit that converts the password generation element into a password by applying a processing rule to the password generation element. The first image data acquired for the subject is image data obtained by photographing the shape of the mouth of the subject in the first pattern, and the second image data is the image data obtained by photographing the shape of the mouth of the subject in the first pattern. The information processing apparatus according to claim 1 or 2, wherein the image data is obtained by photographing a mouth shape of a second pattern different from the second pattern. a holding unit that holds a plurality of identification codes in association with the plurality of extracted features;
a matching unit that obtains an identification code associated with a feature that is similar to the newly extracted feature by matching the plurality of retained features with the newly extracted feature;
The information processing device according to any one of claims 1 to 3, further comprising: The information processing apparatus according to claim 2, wherein the conversion unit further includes an adaptation unit that adapts generation elements of the converted password so that the converted password conforms to password conditions of an authentication server. The information processing apparatus according to any one of claims 1 to 5, wherein the feature extraction unit further includes a deletion unit that deletes a part of the features that specify the subject. obtaining first image data obtained for the subject;
an image acquisition unit that acquires second image data acquired for the subject after changing the shape of at least a portion of the subject;
extracting features from the first image data and obtaining a first identification code corresponding to the extracted features of the subject;
a feature extraction unit that extracts features from the second image data and obtains a second identification code corresponding to the extracted features of the subject;
An information processing system, comprising: a generation unit that generates a password generation element by combining the first and second identification codes. a holding unit that holds a plurality of identification codes in association with the plurality of extracted features;
a matching unit that obtains an identification code associated with a feature that is similar to the newly extracted feature by matching the plurality of retained features with the newly extracted feature;
The information processing system according to claim 7, further comprising a conversion unit that generates a password using a hash algorithm for the password generation element. extracting features of the subject from first image data acquired for the subject, and obtaining a first identification code corresponding to the extracted features of the subject;
Extracting features of the object from second image data acquired for the object after changing the shape of at least a portion of the object, and performing second identification corresponding to the extracted features of the object. An information processing method, comprising: acquiring a code; and generating a password generation element by combining the first and second identification codes. extracting features of the subject from first image data acquired for the subject, and obtaining a first identification code corresponding to the extracted features of the subject;
Extracting features of the object from second image data acquired for the object after changing the shape of at least a portion of the object, and performing second identification corresponding to the extracted features of the object. The process of obtaining the code,
A program that causes a computer to execute a process of generating a password generation element by combining the first and second identification codes.

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