Information processing device, information processing method, and computer program

Abstract

This information processing device A1 comprises: an acquisition unit 11 that acquires, from biological information pertaining to a subject included in an image, feature information that indicates the features of the biological information; an assessment unit 12 that, by using the feature quantity information, assesses whether the biological information could be fraudulently used; and an output unit 13 that outputs an alarm if it is assessed by the assessment unit 12 that the biological information could be fraudulently used.

Description

Technical Field

[0001] This disclosure relates to the technical field of information processing apparatuses, information processing methods, and recording media.

Background Art

[0002] Patent Document 1 describes a technique including a camera that captures an image of a user from inside an elevator car, an image transmission unit that transmits image information to a display unit, an ID reception unit that receives a pre-registered ID, a personal authentication unit that determines whether a plurality of person information is registered in advance and the ID received from the ID reception unit is registered as person information corresponding to the ID, and a usage record unit that stores usage history information inside the elevator car. When the ID received from the ID reception unit is registered as person information corresponding to the ID, the personal authentication unit stops transmitting the captured image information and records information indicating that the person information registered in the personal authentication unit was included in the usage record unit. Patent Document 2 describes a personal authentication system including an authentication information acquisition unit that acquires, as authentication information for authentication determination, information regarding a state in which a predetermined processing is performed on a predetermined physical characteristic possessed by an individual, a registration information acquisition unit that acquires, as registration information for authentication, information regarding a state in which a predetermined processing is performed on a predetermined physical characteristic of a pre-registered individual, and an authentication determination unit that performs an authentication determination based on the registration information acquired by the registration information acquisition unit using the authentication information acquired by the authentication information acquisition unit. Patent Document 3 describes an apparatus including an image recognition means that recognizes a face image of a person by image processing of an image file, an image editing means that edits the face image of the image file into a face image in which the person cannot be identified, and an attribute editing means that edits, in a non-decodable manner, personal identification information among attribute information including the personal identification information. Patent Document 4 describes a technique for obtaining an extracted region of an authenticated user, obtaining the private region of the authenticated user and the private region of another person other than the authenticated user with respect to the image of the extracted region, obtaining image processing rules, and determining an image processing method for each region of the extracted region according to the obtained image processing rules. Patent Document 5 describes a system in which a processed image of the user's face and the user's face image are stored, and before providing a location guidance service, the user is authenticated using the processed image and the face image. If authentication is successful, the system identifies the user who will receive the location guidance service by matching the face image. [Prior art documents] [Patent Documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2004-048519 [Patent Document 2] Japanese Patent Publication No. 2006-350886 [Patent Document 3] Japanese Patent Publication No. 2010-044625 [Patent Document 4] International Publication No. 2012 / 004907 [Patent Document 5] Japanese Patent Publication No. 2020-204896 [Overview of the project] [Problems that the invention aims to solve]

[0004] This disclosure aims to provide an information processing device, an information processing method, and a recording medium that improve upon the technologies described in prior art documents. [Means for solving the problem]

[0005] One aspect of an information processing device includes an acquisition means for acquiring feature information that indicates the characteristics of biological information of an object contained in an image; a determination means for determining whether or not the biological information can be used illegally using the feature information; and an output means for outputting a warning if the determination means determines that the biological information can be used illegally.

[0006] One aspect of the information processing method involves obtaining feature information that indicates the characteristics of the biological information of an object contained in an image, using the feature information to determine whether or not the biological information can be misused, and if it is determined that it can be misused, outputting a warning.

[0007] One embodiment of a recording medium contains a computer program that causes a computer to execute an information processing method that acquires characteristic information indicating the characteristics of a biological information object contained in an image, uses the characteristic information to determine whether or not the biological information can be misused, and outputs a warning if it is determined that it can be misused. [Brief explanation of the drawing]

[0008] [Figure 1] Figure 1 is a block diagram showing the configuration of the information processing device in the first embodiment. [Figure 2] Figure 2 is a block diagram showing the configuration of the information processing device in the second embodiment. [Figure 3] Figure 3 is a flowchart showing the flow of information processing operations of the information processing device in the second embodiment. [Figure 4] Figure 4 is a block diagram showing the configuration of the information processing device in the third embodiment. [Figure 5] Figure 5 is a flowchart showing the flow of information processing operations of the information processing device in the third embodiment. [Figure 6] Figure 6 is a block diagram showing the configuration of the information processing device in the fourth embodiment. [Figure 7] Figure 7 is a flowchart showing the flow of information processing operations of the information processing device in the fourth embodiment. [Figure 8] Figure 8 is a block diagram showing the configuration of the information processing apparatus in the fifth embodiment. [Figure 9] Figure 9 is a flowchart showing the flow of the information processing operation of the information processing apparatus in the fifth embodiment. [Figure 10] Figure 10 is a block diagram showing the configuration of the information processing apparatus in the sixth embodiment. [Figure 11] Figure 11 is a block diagram showing the configuration of the information processing apparatus in the seventh embodiment. [Figure 12] Figure 12 is a block diagram showing the configuration of the information processing apparatus in the eighth embodiment. [Figure 13] Figure 13 is a block diagram showing the configuration of the information processing apparatus in the ninth embodiment. [Figure 14] Figure 14 is a block diagram showing the configuration of the information processing apparatus in the tenth embodiment. [Figure 15] Figure 15 is a block diagram showing the configuration of the information processing apparatus in the eleventh embodiment. Embodiments for Carrying Out the Invention

[0009] Hereinafter, embodiments of an information processing apparatus, an information processing method, and a recording medium will be described with reference to the drawings. [1: First Embodiment]

[0010] The first embodiment of the information processing apparatus, the information processing method, and the recording medium will be described. Hereinafter, the first embodiment of the information processing apparatus, the information processing method, and the recording medium will be described using the information processing apparatus A1 to which the first embodiment of the information processing apparatus, the information processing method, and the recording medium is applied. [1-1: Configuration of Information Processing Apparatus A1]

[0011] Figure 1 is a block diagram showing the configuration of the information processing apparatus A1 in the first embodiment. As shown in Figure 1, the information processing apparatus A1 includes an acquisition unit 11, a determination unit 12, and an output unit 13.

[0012] The acquisition unit 11 acquires feature information indicating the characteristics of the biological information of the target contained in the image. The determination unit 12 uses the feature information to determine whether or not the biological information can be misused. The output unit 13 outputs a warning if the determination unit 12 determines that the biological information can be misused. [1-2: Technical effects of information processing device A1]

[0013] In the first embodiment, the information processing device A1 outputs a warning when biometric information is available for unauthorized use, thereby preventing the unauthorized use of biometric information. [2: Second Embodiment]

[0014] Next, a second embodiment of the information processing device, information processing system, information processing method, and recording medium will be described. In the following, the second embodiment of the information processing device, information processing system, information processing method, and recording medium will be described using information processing device A2 to which the second embodiment of the information processing device, information processing system, information processing method, and recording medium is applied. [2-1: Configuration of Information Processing Device A2]

[0015] Figure 2 is a block diagram showing the configuration of the information processing device A2 in the second embodiment. As shown in Figure 2, the information processing device A2 includes an arithmetic unit 21 and a storage device 22. Furthermore, the information processing device A2 may also include a communication device 23, an input device 24, and an output device 25. However, the information processing device A2 does not have to include at least one of the communication device 23, the input device 24, and the output device 25. The arithmetic unit 21, the storage device 22, the communication device 23, the input device 24, and the output device 25 may be connected via a data bus 26.

[0016] The arithmetic unit 21 includes, for example, at least one of a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), and an FPGA (Field Programmable Gate Array). The arithmetic unit 21 reads a computer program. For example, the arithmetic unit 21 may read a computer program stored in the storage device 22. For example, the arithmetic unit 21 may read a computer program stored in a computer-readable and non-temporary recording medium using a recording medium reading device (not shown) provided by the information processing device A2 (for example, an input device 24 described later). The arithmetic unit 21 may obtain a computer program from a device (not shown) located outside the information processing device A2 via a communication device 23 (or other communication device) (i.e., it may download or read the program). The arithmetic unit 21 executes the read computer program. As a result, logical functional blocks for performing the operations that the information processing device A2 should perform are realized within the arithmetic unit 21. In other words, the arithmetic unit 21 can function as a controller for realizing logical functional blocks necessary for the information processing device A2 to perform its operations (in other words, processes).

[0017] Figure 2 shows an example of a logical functional block implemented within the arithmetic unit 21 to perform information processing operations. As shown in Figure 2, the arithmetic unit 21 implements an acquisition unit 211, which is a specific example of the "acquisition means" described in the appendix below; a determination unit 212, which is a specific example of the "determination means" described in the appendix below; an output unit 213, which is a specific example of the "output means" described in the appendix below; and an image receiving unit 214. However, the image receiving unit 214 does not necessarily have to be implemented within the arithmetic unit 21. Details of the operation of the acquisition unit 211, determination unit 212, output unit 213, and image receiving unit 214 will be explained later with reference to Figure 3.

[0018] The storage device 22 is capable of storing desired data. For example, the storage device 22 may temporarily store computer programs executed by the arithmetic unit 21. The storage device 22 may temporarily store data that the arithmetic unit 21 uses temporarily when it is executing a computer program. The storage device 22 may store data that the information processing device A2 stores long-term. The storage device 22 may include at least one of the following: RAM (Random Access Memory), ROM (Read Only Memory), hard disk drive, magneto-optical disk drive, SSD (Solid State Drive), and disk array device. In other words, the storage device 22 may include non-temporary recording media. A management database 221, which will be described later, may be implemented within the storage device 22. However, the management database 221 is not required to be implemented within the storage device 22.

[0019] The communication device 23 can communicate with external devices of the information processing device A2 via a communication network (not shown). The communication device 23 may have a communication interface based on standards such as Ethernet (registered trademark), Wi-Fi (registered trademark), Bluetooth (registered trademark), or USB (Universal Serial Bus).

[0020] The input device 24 is a device that receives information input to the information processing device A2 from outside the information processing device A2. For example, the input device 24 may include an operating device that can be operated by an operator of the information processing device A2 (for example, at least one of a keyboard, mouse, and touch panel). For example, the input device 24 may include a reading device that can read information recorded as data on an external recording medium that can be attached to the information processing device A2.

[0021] Output device 25 is a device that outputs information to the outside of information processing device A2. For example, output device 25 may output information as an image. That is, output device 25 may include a display device (so-called display) capable of displaying an image representing the information to be output. For example, output device 25 may output information as sound. That is, output device 25 may include an audio device (so-called speaker) capable of outputting sound. For example, output device 25 may output information onto paper. That is, output device 25 may include a printing device (so-called printer) capable of printing desired information onto paper. [2-2: Information processing operations performed by information processing device A2]

[0022] The information processing operations performed by the information processing device A2 in the second embodiment will be explained with reference to Figure 3. Figure 3 is a flowchart showing the flow of information processing operations performed by the information processing device A2 in the second embodiment.

[0023] As shown in Figure 3, the image receiving unit 214 receives an image from outside the information processing device A2 (step S20). In this embodiment, "image" is a concept that includes both still images and moving images. The term "image" may refer to a still image, a moving image, or a portion of the frames included in a moving image. The image receiving unit 214 may receive an image provided by a provider from outside the information processing device A2. The provider may be considered to be the person who has made the image processable in the information processing device A2.

[0024] The acquisition unit 211 detects whether the image contains a subject (step S21). The subject may be a user of the service provided by the information processing device A2. The subject may also be the same person as the provider.

[0025] The acquisition unit 211 acquires feature information that indicates the characteristics of the subject's biological information from the subject's biological information (step S22). The feature information may be feature quantities extracted from the biological information. In other words, the acquisition unit 211 may extract feature quantities from the subject's biological information.

[0026] The determination unit 212 uses the characteristic information to determine whether or not the biometric information can be misused (step S23). Here, misuse may include impersonation, in which a person other than the person in question uses the person's biometric information to authenticate as that person. Furthermore, misuse may also include actions that allow the person to be searched for through matching using biometric information, resulting in the disclosure of private information, including where the person was and what they did.

[0027] The determination unit 212 may compare the feature information with pre-registered registered feature information and make a determination according to the comparison result. Registered feature information may be registered in the management database 221. The management database 221 may contain registered feature information associated with information that can identify the subject.

[0028] If it is determined that unauthorized use is possible (step S23: Yes), the output unit 213 outputs a warning (step S24). The output unit 213 may output the warning to at least one of the target person and the provider. [2-3: Technical effects of information processing device A2]

[0029] In the second embodiment, the information processing device A2 determines whether or not the information can be misused based on whether or not it can be matched with pre-registered registered characteristic information. Therefore, it can accurately determine whether or not the biometric information contained in the image can be used to identify the person. If the information processing device A2 determines that the information can be misused, at least one of the subject and the provider will receive a warning, thus preventing the biometric information from being misused without the knowledge of the subject and the provider. [3: Third Embodiment]

[0030] Next, a third embodiment of the information processing device, information processing method, and recording medium will be described. In the following, the third embodiment of the information processing device, information processing method, and recording medium will be described using information processing device A3 to which the third embodiment of the information processing device, information processing method, and recording medium is applied. [3-1: Configuration of Information Processing Device A3]

[0031] As shown in Figure 4, the information processing device A3 in the third embodiment includes a arithmetic unit 21 and a storage device 22, similar to the information processing device A2 in the second embodiment. Furthermore, the information processing device A3 in the third embodiment may also include a communication device 23, an input device 24, and an output device 25, similar to the information processing device A2 in the second embodiment. However, the information processing device A3 does not have to include at least one of the communication device 23, the input device 24, and the output device 25. The information processing device A3 in the third embodiment differs from the information processing device A2 in the second embodiment in that the arithmetic unit 21 further includes a processing unit 315 and an external output unit 316. Other features of the information processing device A3 may be the same as other features of the information processing device A2 in the second embodiment. For this reason, the following will describe in detail the parts that differ from each embodiment already described, and the explanation of other overlapping parts will be omitted as appropriate. [3-2: Information processing operations performed by information processing device A3]

[0032] The information processing operations performed by the information processing device A3 in the third embodiment will be explained with reference to Figure 5. Figure 5 is a flowchart showing the flow of information processing operations performed by the information processing device A3 in the third embodiment.

[0033] As shown in Figure 5(a), upon receiving an image (step S20), the external output unit 316 determines whether or not to output the image to the outside of the information processing device A3 (step S30). Outputting to the outside may include, for example, making the image viewable on the internet. When outputting the image to the outside of the information processing device A3, the determination unit 212 detects the subject (step S21), acquires characteristic information (step S22), and performs a determination operation (step S31). Thus, the determination operation by the determination unit 212 may be performed at least when outputting the image to the outside of the information processing device A3. If it is determined that the image can be used illegally (step S31: Yes), a warning is output (step S24), and the processing unit 315 processes the image (step S32). [Step S32: Image Processing]

[0034] As shown in Figure 5(b), the processing unit 315 identifies feature regions in the image from which the acquisition unit 211 acquires feature information for biometric information that has been determined to be potentially unusable (step S321). The feature region may be a region corresponding to the biometric information. For example, if the biometric information is an image including the iris, the feature region may be the iris region. The processing unit 315 generates processing information (step S322). The processing information generated by the processing unit 315 may be information that can prevent the unusable nature of the biometric information. The processing information may be information that can prevent the leakage of biometric information. The processing information may be information that can prevent successful matching using biometric information. The processing information may be information that can make biometric authentication difficult. Specific processing information will be described in detail in other embodiments. The processing unit 315 adds processing information to the region corresponding to the feature region (step S323). An image to which processing information has been added to the region corresponding to the feature region by the processing unit 315 may be called a "processed image".

[0035] The external output unit 316 outputs the processed image to the outside of the information processing device A3. The external output unit 316 sends the image, on which the processed information is superimposed in place of the image containing biological information, to the designated recipient. [3-3: Technical Effects of Information Processing Device A3]

[0036] In the third embodiment, the information processing device A3 can process images, thus preventing their misuse. Since the processed images are output to an external location, misuse outside of the information processing device A3 can be prevented. [4: Fourth Embodiment]

[0037] Next, a fourth embodiment of the information processing device, information processing method, and recording medium will be described. In the following, the fourth embodiment of the information processing device, information processing method, and recording medium will be described using information processing device A4 to which the fourth embodiment of the information processing device, information processing method, and recording medium is applied. [4-1: Configuration of Information Processing Device A4]

[0038] As shown in Figure 6, the information processing device A4 in the fourth embodiment includes a arithmetic unit 21 and a storage device 22, similar to the information processing device A2 in the second embodiment and the information processing device A3 in the third embodiment. Furthermore, the information processing device A4 in the fourth embodiment may also include a communication device 23, an input device 24, and an output device 25, similar to the information processing device A2 in the second embodiment and the information processing device A3 in the third embodiment. However, the information processing device A4 does not have to include at least one of the communication device 23, the input device 24, and the output device 25. The information processing device A4 in the fourth embodiment differs from the information processing device A2 in the second embodiment and the information processing device A3 in the third embodiment in that the arithmetic unit 21 further includes a feature information identification unit 417. Other features of the information processing device A4 may be the same as other features of the information processing device A2 in the second embodiment or the information processing device A3 in the third embodiment. For this reason, the following will describe in detail the parts that differ from each embodiment already described, and the explanation of other overlapping parts will be omitted as appropriate.

[0039] In the fourth embodiment, the biometric information includes information indicating the iris. In the fourth embodiment, the feature information and the registered feature information may include information indicating the characteristics of the subject's iris. In the management database 421 in the fourth embodiment, the registered feature information is registered in association with the subject. In the management database 421, as illustrated in Table 1 below, the registered feature information may be registered in association with face information indicating the subject's face as identification information that can identify the subject. [Table 1: Management Database 421]

[0040] [Table 1]

[0041] Table 1 above illustrates how registered feature information "aaa," which indicates the iris characteristics of a subject identifiable by identification information "AA," is registered in association with face information "AAA," which represents the subject's face. It also illustrates how registered feature information "bbb," which indicates the iris characteristics of a subject identifiable by identification information "BB," is registered in association with face information "BBB," which represents the subject's face. Furthermore, it illustrates how registered feature information "ccc," which indicates the iris characteristics of a subject identifiable by identification information "CC," is registered in association with face information "CCC," which represents the subject's face. [4-2: Information processing operations performed by information processing device A4]

[0042] The information processing operations performed by the information processing device A4 in the fourth embodiment will be described with reference to Figure 7. Figure 7 is a flowchart showing the flow of information processing operations performed by the information processing device A4 in the fourth embodiment. Figure 7 shows the specific flow of information processing operations performed in step S31 shown in Figure 5.

[0043] As shown in Figure 7, the feature information identification unit 417 detects the face region of the subject in the image (step S40). The feature information identification unit 417 compares the face region with the face information registered in the management database 421 to perform face matching (step S41). The feature information identification unit 417 identifies who the subject is through face matching (step S42). The feature information identification unit 417 identifies the registered feature information associated with the subject (step S43). For example, in the case illustrated in Table 1 above, if the information indicating the face region detected in step S40 is "AAA", the feature information identification unit 417 identifies the subject's registered feature information as "aaa". The determination unit 212 compares the feature information acquired by the acquisition unit 211 with the identified registered feature information (step S44). The determination unit 212 determines whether the iris information included in the image can be used illegally based on the comparison result. [4-3: Technical Effects of Information Processing Device A4]

[0044] In the fourth embodiment, the information processing device A4 identifies the subject by facial recognition and determines whether or not it can be used for fraudulent purposes based on whether or not it can be matched with pre-registered registered characteristic information. Therefore, it can accurately determine whether or not an iris image can be used for identifying the person. [5: Fifth Embodiment]

[0045] Next, a fifth embodiment of the information processing device, information processing method, and recording medium will be described. In the following, the fifth embodiment of the information processing device, information processing method, and recording medium will be described using information processing device A5 to which the fifth embodiment of the information processing device, information processing method, and recording medium is applied. [5-1: Configuration of Information Processing Device A5]

[0046] As shown in Figure 8, the information processing device A5 in the fifth embodiment includes an arithmetic unit 21 and a storage device 22, similar to the information processing devices A2 in the second embodiment to A4 in the fourth embodiment. Furthermore, the information processing device A5 in the fifth embodiment may also include a communication device 23, an input device 24, and an output device 25, similar to the information processing devices A2 in the second embodiment to A4 in the fourth embodiment. However, the information processing device A5 does not have to include at least one of the communication device 23, the input device 24, and the output device 25. The information processing device A5 in the fifth embodiment differs from the information processing device A4 in the second embodiment to A4 in the fourth embodiment in that the processing unit 515 includes a pattern generation unit 5151, a molding unit 5152, and a color conversion unit 5153. Other features of the information processing device A5 may be the same as at least one other feature of the information processing device A4 in the second embodiment to A4 in the fourth embodiment. Therefore, the following will provide a detailed explanation of the parts that differ from the embodiments already described, while other overlapping parts will be omitted as appropriate.

[0047] In the fifth embodiment, the biological information includes information indicating the iris. In the fifth embodiment, the characteristic information may include information indicating the characteristics of the subject's iris. [5-2: Information processing operations performed by information processing device A5]

[0048] The information processing operations performed by the information processing device A5 in the fifth embodiment will be described with reference to Figure 9. Figure 9 is a flowchart showing the flow of information processing operations performed by the information processing device A5 in the fifth embodiment. Figure 9 shows the specific flow of information processing operations performed in step S32 shown in Figure 5.

[0049] As shown in Figure 9(a), the processing unit 515 identifies a region from the image that corresponds to the iris region, which includes the subject's iris as a feature region (hereinafter sometimes referred to as the "additional region") (step S50). The processing unit 515 generates similar iris information that is similar to the subject's iris region as processing information (step S51). [Step S51: Generation of similar iris information]

[0050] As shown in Figure 9(b), the pattern generation unit 5151 acquires a similar iris pattern (step S511). The similar iris pattern may be a pattern that, when used in processing, does not impair the appearance of the iris region after processing. Not impairing the appearance means that when viewed by a human, it may be difficult to notice that the iris has been processed. The similar iris pattern may be a pattern that, when used in processing, causes the iris region after processing to lose its individuality. Losing individuality means that it may become impossible to identify the individual. The pattern generation unit 5151 may select a similar iris pattern from a plurality of candidate patterns according to the applicable additional region. One similar iris pattern may be prepared, and the pattern generation unit 5151 may acquire the prepared similar iris pattern. The pattern generation unit 5151 may generate a similar iris pattern according to the applicable additional region.

[0051] The molding unit 5152 generates a molded iris pattern by molding the size of a similar iris pattern to the size of the subject's iris region (step S512). The color conversion unit 5153 converts the color of the molded iris pattern to a color similar to the color of the subject's iris region to generate similar iris information (step S513).

[0052] The processing unit 515 processes the image by adding similar iris information to the added region (step S52). [5-3: Technical Effects of Information Processing Device A5]

[0053] The information processing device A5 in the fifth embodiment can prevent the misuse of iris images without compromising their appearance. The information processing device A5 can prevent the misuse of iris images by performing natural processing that makes it difficult to tell that processing has been done. [6: Sixth Embodiment]

[0054] Next, a sixth embodiment of the information processing device, information processing method, and recording medium will be described. In the following, the sixth embodiment of the information processing device, information processing method, and recording medium will be described using information processing device A6 to which the sixth embodiment of the information processing device, information processing method, and recording medium is applied. [6-1: Configuration of Information Processing Device A6]

[0055] As shown in Figure 10, the information processing device A6 in the sixth embodiment includes an arithmetic unit 21 and a storage device 22, similar to the information processing devices A2 in the second embodiment to A5 in the fifth embodiment. Furthermore, the information processing device A6 in the sixth embodiment may also include a communication device 23, an input device 24, and an output device 25, similar to the information processing devices A2 in the second embodiment to A5 in the fifth embodiment. However, the information processing device A6 does not have to include at least one of the communication device 23, the input device 24, and the output device 25. The information processing device A6 in the sixth embodiment differs from the information processing device A5 in the second embodiment to A5 in that the processing unit 615 further includes a presentation unit 6154 and a selection acquisition unit 6155, and the storage device 22 further includes a selection registration unit 622. Other features of the information processing device A6 may be the same as at least one other feature of the information processing device A5 in the second embodiment to A5 in the fifth embodiment. Therefore, the following will provide a detailed explanation of the parts that differ from the embodiments already described, while other overlapping parts will be omitted as appropriate. [6-2: Information processing operations performed by information processing device A6]

[0056] The processing unit 615 in the sixth embodiment can be processed by multiple processing methods. These processing methods may include, for example, a method for increasing the outer diameter of the iris region. They may also include a method for superimposing a specific pattern onto the iris region. Furthermore, they may include a method for changing the color of the iris region to a specific color.

[0057] The presentation unit 6154 presents the subject with multiple processing methods that the processing unit 615 can perform. The presentation unit 6154 may also control the communication device 23 or the output device 25 to present the subject with multiple processing methods that the processing unit 515 can perform. For example, the presentation unit 6154 may present the subject with multiple processing methods that the processing unit 615 can perform, so that the subject can select the processing method they wish to use, similar to selecting a patterned contact lens. The subject may then select the processing method they wish to use from the presented multiple processing methods.

[0058] The selection acquisition unit 6155 acquires information indicating the processing method selected by the user. The selection acquisition unit 6155 may acquire the processing method selected by the user via the communication device 23 or the input device 24. The acquired processing method may be registered, for example, in the selection registration unit 622 implemented in the storage device 22. The operation of presenting the processing method by the presentation unit 6154 and the operation of acquiring the selection result by the selection acquisition unit 6155 may be performed at the timing when the user becomes a user, the timing when the output unit 213 outputs a warning, etc.

[0059] The processing unit 615 performs processing using the processing method selected by the subject from among several processing methods during a predetermined period. The predetermined period may be a predetermined period. The predetermined period may be a period specified by the subject. The predetermined period may be, for example, one month. The subject may change their selection of processing method at any time. [6-3: Technical Effects of Information Processing Device A6]

[0060] In the sixth embodiment, the information processing device A6 can process an image using a processing method desired by the user while preventing the image from being misused. Furthermore, the processing unit 615 performs processing using the processing method selected by the user from among multiple processing methods during a predetermined period, so the user does not need to select a processing method each time processing is performed. [7: Seventh Embodiment]

[0061] Next, a seventh embodiment of the information processing device, information processing method, and recording medium will be described. In the following, the seventh embodiment of the information processing device, information processing method, and recording medium will be described using information processing device A7 to which the seventh embodiment of the information processing device, information processing method, and recording medium is applied.

[0062] Figure 11 shows the configuration of the information processing device A7 in the seventh embodiment. In the seventh embodiment, the operation of the acquisition unit 711, the determination unit 712, and the feature information identification unit 717 differs from that of the second to sixth embodiments. Also, in the seventh embodiment, the information registered in the management database 721 is different. Other features of the information processing device A7 may be the same as at least one other feature of the information processing device A2 in the second embodiment to the information processing device A6 in the sixth embodiment. For this reason, the following will describe in detail the parts that differ from each embodiment already described, and will omit explanations of other overlapping parts as appropriate. [7-1: Information processing operations performed by information processing device A7]

[0063] In the second to sixth embodiments, the acquisition unit 211 may acquire feature information using a first extraction engine E1 that extracts feature quantities by a first extraction method. Furthermore, the management database 221 may contain the feature quantities extracted by the first extraction engine E1.

[0064] In contrast, in the seventh embodiment, the acquisition unit 711 may use a first extraction engine E1 that extracts feature quantities as feature information using a first extraction method, and one or more second extraction engines E2, each extracting feature quantities using an extraction method different from the first extraction method. That is, in the seventh embodiment, the acquisition unit 711 may extract multiple feature quantities, each with different characteristics, using multiple extraction methods.

[0065] For example, using one extraction method, even if the features extracted from a low-brightness image, the success rate of matching using those features may be high. Similarly, using another extraction method, even if the features extracted from a low-resolution image, the success rate of matching using those features may be high. Thus, each extraction method may have different characteristics. In other words, each extraction method has different strengths.

[0066] In the seventh embodiment, the management database 721 registers, in addition to the first features extracted by the first extraction engine E1, the second features extracted by one or more second extraction engines E2, each using an extraction method different from the first extraction method. In other words, in the seventh embodiment, the features registered in the management database 721 include the second features in addition to the first features. For example, as shown in Table 2 below, the management database 721 may register "aaa1" as the first feature extracted by the first extraction engine E1 and "aaa2" as the second feature extracted by the second extraction engine E2 for a subject identifiable by the identification information "AA". Also, the management database 721 may register "bbb1" as the first feature extracted by the first extraction engine E1 and "bbb21" and "bbb22" as the second features extracted by the second extraction engine E2 for a subject identifiable by the identification information "BB". Since the second extraction engine E2 includes one or more extraction engines E, each of which extracts features using an extraction method different from the first extraction method, "bbb21" and "bbb22" may be features extracted using different extraction methods. "bbb21" may be a feature extracted by extraction engine E21, and "bbb22" may be a feature extracted by extraction engine E22. Furthermore, the management database 721 may register "ccc1" as a first feature extracted by the first extraction engine E1 and "ccc2" as a second feature extracted by the second extraction engine E2 for subjects identifiable by the identification information "CC". [Table 2: Management Database 721]

[0067] [Table 2]

[0068] In the seventh embodiment, a second extraction engine E2 other than the first extraction engine E1 used in the second to sixth embodiments may be used to accommodate various anticipated cases. This makes it possible to prevent, for example, the unauthorized use of biometric information in an environment outside the management of the information processing device A7.

[0069] In the seventh embodiment, the feature information identification unit 717 identifies one or more registered feature quantities that are associated with the subjects included in the image, from the feature quantities registered in the management database 721. That is, in the seventh embodiment, the feature information identification unit 717 may identify a second feature quantity obtained by the second extraction engine E2 in addition to the first feature quantity obtained by the first extraction engine E1.

[0070] The feature quantities acquired by the acquisition unit 711 from the image processed by the processing unit 715 are called processed feature quantities. In the seventh embodiment, the determination unit 712 compares the processed feature quantities acquired by the acquisition unit 711 with one or more registered feature quantities identified by the feature information identification unit 717. The determination unit 712 may also compare the processed feature quantities extracted by the first extraction engine E1 with the registered feature quantities extracted by the first extraction engine E1. Alternatively, the determination unit 712 may compare the processed feature quantities extracted by the second extraction engine E2 with the registered feature quantities extracted by the second extraction engine E2. Furthermore, in addition to comparing feature quantities extracted by the same extraction engine E, the determination unit 712 may also perform comparisons between feature quantities extracted by different extraction engines E.

[0071] The determination unit 712 determines whether the matching was successful or not. If the matching is successful, the processing unit 715 changes the processing method and performs the processing. If at least one matching is successful, the processing unit 715 may change the processing method and perform the processing. [Processing operation in the seventh embodiment]

[0072] The processing unit 715 performs processing so that the determination unit 712 fails to match the processed feature quantities acquired by the acquisition unit 711 with one or more registered feature quantities identified by the feature information identification unit 717. In other words, the processing is performed so that the determination unit 712 does not determine that the feature quantities can be used illegally.

[0073] In the seventh embodiment, the determination unit 712 may use a plurality of matching engines, each having different characteristics. Each matching engine may correspond to each of the extraction engines E. The processing unit 715 may perform processing such that matching is unsuccessful even when the matching engine with the highest processing capacity available to the determination unit 712 is used. A matching engine with high processing capacity may be, for example, an engine that can successfully perform matching even when noise is superimposed on the image. The processing unit 715 may also perform processing such that matching is unsuccessful by all matching engines available to the determination unit 712. The processing unit 715 performs processing using a processing method that satisfies at least one of the following: a processing method in which matching is unsuccessful by the matching engine with the highest processing capacity available to the determination unit 712, and a processing method in which matching is unsuccessful by all matching engines available to the determination unit 712.

[0074] The characteristics of the matching engine may include, for example, the ability to match features extracted from low-brightness images with a high success rate. Furthermore, the characteristics of the matching engine may also include the ability to match features extracted from low-resolution images with a high success rate. The determination unit 712 may also determine the possibility of misuse by changing the matching threshold. [7-2: Technical Effects of Information Processing Device A7]

[0075] In the seventh embodiment, the information processing device A7 can prevent the unauthorized use of images even in environments other than those managed by the information processing device A7. For example, if an engine in an environment outside the management of the information processing device A7 has higher processing power than an engine available to the information processing device A7, the processing method can be changed to prevent unauthorized use. By performing processing using various conceivable processing methods, the information processing device A7 can appropriately process images so that matching of processed feature quantities is unsuccessful, regardless of which matching engine is used. [8: Eighth Implementation]

[0076] Next, an eighth embodiment of the information processing device, information processing method, and recording medium will be described. In the following, the eighth embodiment of the information processing device, information processing method, and recording medium will be described using information processing device A8 to which the eighth embodiment of the information processing device, information processing method, and recording medium is applied.

[0077] Figure 12 shows the configuration of the information processing device A8 in the eighth embodiment. In the eighth embodiment, the operation of the output unit 813 differs from that of the second to seventh embodiments. Also, in the eighth embodiment, the information registered in the management database 821 is different. Other features of the information processing device A7 may be the same as at least one other feature of the information processing device A7 in the second to seventh embodiments. For this reason, the following will describe in detail the parts that differ from each embodiment already described, and will omit explanations of other overlapping parts as appropriate. [8-1: Information processing operations performed by information processing device A8] [Implementation timing]

[0078] The information processing device A8 may perform information processing operations in at least one of the following cases: when the image becomes processable by the information processing device A8, and when the image is output to an external location. The case in which the image becomes processable by the information processing device A8 may include the case in which the image is uploaded to the information processing device A8.

[0079] In the eighth embodiment, the management database 821 contains information indicating whether processing of each type of biometric information is necessary for each user who uses the services provided by the information processing device A8, as illustrated in Table 3 below. [Table 3: Management Database 821]

[0080] [Table 3]

[0081] Table 3 above illustrates that for users identifiable by identification information "AA," processing is required for the "iris" but not for the "face." It also illustrates that for users identifiable by identification information "BB," processing is required for both the "iris" and the "face." Furthermore, it illustrates that for users identifiable by identification information "CC," processing is not required for either the "iris" or the "face."

[0082] For example, in Table 3 above, it can be understood that a user identifiable by the identification information "AA" considers the leakage of "iris" information to be problematic. On the other hand, it can be understood that a user identifiable by the identification information "AA" considers the leakage of "face" information to be not problematic. Furthermore, it can be understood that a user identifiable by the identification information "BB" considers the leakage of both "iris" and "face" information to be problematic. Furthermore, it can be understood that a user identifiable by the identification information "CC" considers the leakage of both "iris" and "face" information to be not problematic. Thus, whether or not a user considers the leakage of certain types of biometric information to be problematic varies from user to user.

[0083] The output unit 813 does not output a warning if the determination unit 212 determines, using characteristic information obtained from biometric information of a type that does not require processing, that the biometric information can be misused.

[0084] In the eighth embodiment, the management database 821 contains information indicating whether processing is necessary for each type of biometric information, so the output unit 813 can output a warning accordingly. Even if the management database 821 contains information indicating that processing is unnecessary, the determination unit 212 may still perform a determination operation. In this case, for example, a service may be provided to the user indicating the extent to which potentially exploitable information has been output outside the information processing device A7. [8-2: Technical Effects of Information Processing Device A8]

[0085] In the eighth embodiment, the information processing device A8 can control whether or not to output a warning depending on the user and the type of biometric information. [9: Ninth Embodiment]

[0086] Next, a ninth embodiment of the information processing device, information processing method, and recording medium will be described. In the following, the ninth embodiment of the information processing device, information processing method, and recording medium will be described using information processing device A9 to which the ninth embodiment of the information processing device, information processing method, and recording medium is applied.

[0087] Figure 13 shows the configuration of the information processing device A9 in the ninth embodiment. In the ninth embodiment, the operation of the output unit 913 differs from that of the second to eighth embodiments. Also, in the ninth embodiment, the information registered in the management database 921 is different. Other features of the information processing device A9 may be the same as at least one other feature of the information processing device A2 in the second embodiment to the information processing device A8 in the eighth embodiment. For this reason, the following will describe in detail the parts that differ from each embodiment already described, and will omit explanations of other overlapping parts as appropriate. [9-1: Information processing operations performed by information processing device A9] [Implementation timing]

[0088] The information processing device A9 may perform information processing operations in at least one of the following cases: when the image becomes ready for processing by the information processing device A9, and when the image is output to an external location. The case in which the image becomes ready for processing by the information processing device A9 may include the case in which the image is uploaded to the information processing device A9.

[0089] In the ninth embodiment, the management database 921 contains information indicating whether or not a warning should be issued for each user who uses the services provided by the information processing device A9, as illustrated in Table 4 below. [Table 4: Management Database 921]

[0090] [Table 4]

[0091] Table 4 above illustrates that users identifiable by identification information "AA" do not require a warning, users identifiable by identification information "BB" do not require a warning, and users identifiable by identification information "CC" require a warning.

[0092] The output unit 913 does not output a warning to users for whom a warning is unnecessary, even if the determination unit 212 determines that the user's biometric information can be misused. For example, in the case of images that only include the user, such as selfies, a warning does not need to be output.

[0093] The acquisition unit 211 may detect whether the image includes subjects other than the user. The determination unit 212 may perform a determination operation to determine whether the biometric information of subjects other than the user can be misused. In this case, if the determination unit 212 determines that the biometric information of subjects included in the image of subjects other than the user can be misused, it may perform at least one of the following: outputting a warning by the output unit 913 and processing the biometric information of the subject by the processing unit 315.

[0094] Alternatively, if the determination unit 212 determines that the biometric information of a person included in an image of a user other than the user for whom a warning output is unnecessary can be misused, the output unit 913 may not output a warning, and the processing unit 315 may perform processing on the biometric information of that person. Since the user does not consider a warning output to be unnecessary, the output unit 913 does not need to output a warning for persons included in images of users other than the user. Even if the user does not consider a warning output to be unnecessary, processing of biometric information may be performed on the biometric information of others who do not intend to make it public to an unspecified number of people in order to deter misuse. [9-2: Technical Effects of Information Processing Device A9]

[0095] In the ninth embodiment, the information processing device A9 can control whether or not to output a warning depending on the user, and can output an appropriate warning. Furthermore, even if the user does not need a warning, if the information processing device A9 can output a warning and process the biometric information of a person included in an image other than the user's, if that biometric information of the person is available for unauthorized use, it can suppress the unauthorized use of biometric information of a person included in an image other than the user's. [10: Tenth Embodiment]

[0096] Next, a tenth embodiment of the information processing device, information processing method, and recording medium will be described. In the following, an eighth embodiment of the information processing device, information processing method, and recording medium will be described using an information processing device A10 to which the tenth embodiment of the information processing device, information processing method, and recording medium is applied.

[0097] As shown in Figure 14, the information processing device A10 in the tenth embodiment includes a arithmetic unit 21 and a storage device 22, similar to the information processing devices A2 in the second embodiment to A9 in the ninth embodiment. Furthermore, the information processing device A10 in the tenth embodiment may also include a communication device 23, an input device 24, and an output device 25, similar to the information processing devices A2 in the second embodiment to A9 in the ninth embodiment. However, the information processing device A10 does not have to include at least one of the communication device 23, the input device 24, and the output device 25. The information processing device A10 in the tenth embodiment differs from the information processing device A2 in the second embodiment to A9 in the ninth embodiment in that the arithmetic unit 21 further includes a receiving unit 1018 and a selection unit 1019, the operation of the determination unit 1012, and the information registered in the management database 1021. Other features of the information processing device A10 may be the same as at least one other feature of the information processing device A2 in the second embodiment to the information processing device A9 in the ninth embodiment. For this reason, the following will describe in detail the parts that differ from each embodiment already described, and will omit explanations of other overlapping parts as appropriate. [10-1: Information processing operations performed by information processing device A10]

[0098] In the tenth embodiment, the management database 1021 contains multiple images that include a user. Images acquired by the image receiving unit 214 may be stored in the management database 1021 without being deleted.

[0099] The reception unit 1018 receives a request from the user to make all images held by the information processing device A10 in a state where they cannot be misused. The selection unit 1019 selects all images that include the user from among the images stored in the management database 1021.

[0100] The selection unit 1019 may detect faces in the image and select images containing the user through face matching. The selection unit 1019 may also detect irises in the image and select images containing the user through iris matching. The selection unit 1019 does not have to select images containing biometric information that has already been processed. The purpose of the selection is to process the images so that matching by the determination unit 1012 is unsuccessful, so biometric information that does not result in matching by the determination unit 1012 does not need to be processed. For this reason, the selection unit 1019 does not have to select images containing biometric information that has already been processed.

[0101] The determination unit 1012 performs a determination operation on all selected images. The processing unit 315 processes the images containing biometric information that the determination unit 1012 has determined to be unusable.

[0102] The selection unit 1019 may search for images of the subject, such as images previously used on social networking services. The determination unit 1012 may determine whether all the searched images are available for unauthorized use. The management database 1021 may replace stored images that are available for unauthorized use with processed images. [10-2: Technical Effects of Information Processing Device A10]

[0103] In the tenth embodiment, the information processing device A10 can prevent unauthorized use of at least the images managed by the information processing device A10, if the user so desires. The information processing device A10 can also prevent unauthorized use of past images. [11: Eleventh Embodiment]

[0104] Next, an eleventh embodiment of the information processing device, information processing method, and recording medium will be described. In the following, the eleventh embodiment of the information processing device, information processing method, and recording medium will be described using an information processing device A11 to which the eleventh embodiment of the information processing device, information processing method, and recording medium is applied.

[0105] Figure 15 shows the configuration of the information processing device A11 in the 11th embodiment. In the 11th embodiment, the operation of the processing unit 1115 differs from that of the second to tenth embodiments. Also, in the fifteenth embodiment, the information registered in the management database 1121 is different. Other features of the information processing device A11 may be the same as at least one other feature of the information processing device A2 in the second embodiment to the information processing device A10 in the tenth embodiment. For this reason, the following will describe in detail the parts that differ from each embodiment already described, and will omit explanations of other overlapping parts as appropriate. [11-1: Information processing operations performed by information processing device A11]

[0106] In the 11th embodiment, the management database 1121 registers users who use the services provided by the information processing device A11, as well as other entities related to those users.

[0107] In other words, even if the information processing device A11 is not a user of the services provided by the information processing device A11, it may prevent the misuse of the biometric information of individuals who appear in the image along with the user. For example, when the user starts using the services provided by the information processing device A11, individuals other than the user may also be registered in the management database 1121 as individuals to be processed.

[0108] In the 11th embodiment, the management database 1121 contains a setting for the degree of processing performed by the processing unit 1115 for each user who uses the services provided by the information processing device A11. The degree of processing may also be the intensity of the processing. The degree of processing may correlate with the success rate of matching. For example, the greater the degree of processing, the less likely it is that matching will succeed. Also, the greater the degree of processing, the less likely it is that misuse will occur. Also, the less the degree of processing, the more likely it is that matching will succeed.

[0109] The management database 1121 may include users and other entities related to those users, and for each registered entity, the degree of processing performed by the processing unit 1115 may be set.

[0110] The management database 1121 may have settings for the processing intensity of the processing unit 1115 for each registered subject, as illustrated in Table 5 below. Table 5 below illustrates that for users identifiable by identification information "AA", information for the user themselves and information for subjects identifiable by identification information "XX" are registered. It also illustrates that for users identifiable by identification information "BB", information for the user themselves and information for subjects identifiable by identification information "YY" are registered. Furthermore, it illustrates that for users identifiable by identification information "CC", information for the user themselves and information for subjects identifiable by identification information "ZZ" are registered. [Table 5: Management Database 1121]

[0111] [Table 5]

[0112] Table 5 above illustrates that individuals identifiable by identification information "AA" are set to be processed with a medium intensity, neither strong nor weak. It also illustrates that individuals identifiable by identification information "XX" are set to be processed with a strong intensity. Furthermore, it illustrates that individuals identifiable by identification information "BB" are set to be processed with a weak intensity. Furthermore, it illustrates that individuals identifiable by identification information "YY" are set to be processed with a weak intensity. Furthermore, it illustrates that individuals identifiable by identification information "CC" are set to be processed with a strong intensity. Furthermore, it illustrates that individuals identifiable by identification information "ZZ" are set to be processed with a strong intensity.

[0113] The processing unit 1115 may add processing information corresponding to the set intensity to the area in the image corresponding to the feature information. If the subject in the image is a user identifiable by the identification information "AA", the processing unit 1115 may add processing information corresponding to an intermediate intensity to the area corresponding to the feature information. If the subject in the image is a user identifiable by the identification information "BB", the processing unit 1115 may add processing information corresponding to a weak intensity to the area corresponding to the feature information. If the subject in the image is a user identifiable by the identification information "CC", the processing unit 1115 may add processing information corresponding to a strong intensity to the area corresponding to the feature information.

[0114] Furthermore, the processing unit 1115 may change the degree of processing according to the size of the feature information in the image. For example, even if the subject included in the image is a user identifiable by the identification information "AA", if the size of the feature information included in the image is larger than the first predetermined size, the processing unit 1115 may add processing information corresponding to a strong intensity to the area corresponding to the feature information. Alternatively, even if the subject included in the image is a user identifiable by the identification information "AA", if the size of the feature information included in the image is smaller than the second predetermined size which is smaller than the first predetermined size, the processing unit 1115 may add processing information corresponding to a weak intensity to the area corresponding to the feature information.

[0115] The processing unit 1115 may process the user's biometric information and the biometric information of other people who appear in the image together with the user. For example, the processing unit 1115 may determine the size of the biometric information in the image, and if the size of another person's biometric information is larger than the size of the user's biometric information in the same image, it may process the other person's biometric information with a stronger intensity than the processing intensity set by the user. Also, if the processing unit 1115 determines that another person appears larger than a predetermined size, it may determine that the predetermined processing intensity is insufficient and apply processing with a stronger intensity.

[0116] If the person in the image is a target user of the service provided by the information processing device A11, it can be determined whether or not the image can be used for unauthorized purposes by comparing it with the registered characteristic information registered in the management database 1121. On the other hand, if the person in the image is not a target user of the service provided by the information processing device A11, it may be determined whether or not the image can be used for unauthorized purposes by comparing it with characteristic information extracted from any publicly available image. For example, if it is not possible to obtain an image that is considered to be the same person as the person in the image obtained by comparing it with characteristic information obtained from an image of a person who is not a target user of the service provided by the information processing device A11, it may be determined that unauthorized use is not possible. [11-2: Technical Effects of Information Processing Device A11]

[0117] In the 11th embodiment, the information processing device A11 can change the degree of processing according to the user and perform appropriate processing. Since the information processing device A11 can change the degree of processing according to the size of the feature area, for example, if it is prominently featured, it can be processed to make it more difficult to misuse. Furthermore, the information processing device A11 can change the degree of processing according to the target person other than the user themselves. [12: Addendum]

[0118] The following additional information is disclosed regarding the embodiments described above. [Note 1] An acquisition means for acquiring characteristic information that indicates the characteristics of the biological information of a target contained in an image, A determination means that performs a determination operation to determine whether or not the biometric information can be used illegally using the characteristic information, If the determination means determines that unauthorized use is possible, the output means outputs a warning. An information processing device equipped with the following features. [Note 2] The determination means compares the feature information acquired by the acquisition means with the registered feature information that has been registered in advance, and makes a determination according to the result of the comparison. The information processing device described in Appendix 1. [Note 3] The output means outputs the warning to at least one of the subject and the person who made the image processable in the information processing device. The information processing device described in Appendix 1 or 2. [Note 4] Processing means that processes the image by adding processing information to the region in the image corresponding to the feature region in the image from which the acquisition means acquires the feature information. An information processing apparatus according to Appendix 1 or 2, further comprising the following: [Note 5] When outputting the aforementioned image to the outside of the information processing device, if the determination operation is performed and the determination means determines that the image can be used illegally, the processing means processes the image and outputs the processed image to the outside of the information processing device. An information processing device as described in Appendix 4, further comprising the above. [Note 6] The system further comprises a feature information identification means that performs facial matching on the subject included in the aforementioned image, identifies the subject, and identifies registered feature information associated with the subject. The determination means compares the feature information acquired by the acquisition means with the registered feature information and makes a determination according to the comparison result. The information processing device described in Appendix 1 or 2. [Note 7] The aforementioned processing means is In the region corresponding to the iris region including the iris of the subject, which is the characteristic region, Similar iris information to the iris region as the processing information The image is processed by adding the following: The information processing device described in Appendix 5. [Note 8] The aforementioned processing means is Obtain similar iris patterns, A molded iris pattern is generated by shaping the size of the similar iris pattern to the size of the iris region. The color of the molded iris pattern is converted to a color similar to the color of the iris region. The aforementioned similar iris information is generated, The image is processed by adding the similar iris information to the region corresponding to the iris region. The information processing device described in Appendix 7. [Note 9] The processing means further comprises a presentation means for presenting to the object a plurality of processing methods that can be implemented by the processing means, The processing means performs processing during a predetermined period using the processing method selected by the target from among the plurality of processing methods. The information processing device described in Appendix 4. [Note 10] A registration means that registers feature information including first feature information obtained by a first extraction engine that extracts feature information using a first extraction method, and second feature information obtained by one or more second extraction engines that extract feature information using extraction methods different from the first extraction method, The system further comprises a feature information identification means for identifying one or more registered feature information associated with the object included in the image, from the feature information registered in the registration means, The acquisition means can use the first extraction engine and the one or more second extraction engines. The determination means compares the processed feature information obtained by the acquisition means from the image processed by the processing means with the one or more registered feature information. The processing means changes the processing method and performs the processing according to the verification result by the determination means. The information processing device described in Appendix 5. [Note 11] The processing means is configured such that the determination means does not determine that the processed feature information is unusable based on the comparison result between the processed feature information and the one or more registered feature information. Machining methods for which matching is unsuccessful by the matching engine with the highest processing power that can be used by the determination means, and Machining method for which matching by all matching engines that can be used by the aforementioned determination means fails The processing is carried out by a processing method that satisfies at least one of the following conditions. The information processing device described in Appendix 10. [Note 12] For each user utilizing the services provided by the information processing device, information indicating whether or not processing of each type of biometric information is required is registered. The output means does not output a warning if the determination means determines, using characteristic information obtained from biometric information of a type that does not require processing, that the biometric information can be misused. The information processing device described in Appendix 1 or 2. [Note 13] For each user of the services provided by the information processing device, information indicating whether or not a warning should be issued is registered. The output means will not output a warning to the user for whom a warning is unnecessary, even if the determination means determines that the target biometric information can be misused. The information processing device described in Appendix 1 or 2. [Note 14] For each user of the services provided by the information processing device, information indicating whether or not a warning should be issued is registered. If the determination means determines that the biometric information of a target other than the user for whom the warning output is unnecessary can be misused, it will perform at least one of the following: output a warning by the output means and process the biometric information of the target by the processing means. The information processing device described in Appendix 5. [Note 15] The determination means is, Select all images in the database that contain the target, The judgment operation is performed on all selected images. The processing means processes an image containing biometric information that has been determined by the determination means to be unlawfully usable. The information processing device described in Appendix 5. [Note 16] For each user who uses the service provided by the information processing device, the degree of processing by the processing means is set. The processing means adds processing information according to a set degree to the region in the image corresponding to the feature region. The information processing device described in Appendix 5. [Note 17] The processing means changes the degree of processing according to the size of the feature region in the image. The information processing device described in Appendix 16. [Note 18] In association with the aforementioned user, other subjects related to that user are registered. For each of the registered targets, the degree of processing by the processing means is set. The information processing device described in Appendix 16. [Note 19] From the biological information of the subject contained in the image, characteristic information that represents the features of that biological information is obtained. Using the aforementioned characteristic information, a determination operation is performed to determine whether or not the biometric information can be misused. If it is determined that unauthorized use is occurring, a warning will be issued. Information processing methods. [Note 20] On the computer, From the biological information of the subject contained in the image, characteristic information that represents the features of that biological information is obtained. Using the aforementioned characteristic information, a determination operation is performed to determine whether or not the biometric information can be misused. If it is determined that unauthorized use is occurring, a warning will be issued. A recording medium on which a computer program for executing an information processing method is stored.

[0119] This disclosure may be modified as appropriate, insofar as it does not contradict the technical idea that can be inferred from the claims and the entire specification. Information processing devices, information processing methods, and recording media that include such modifications are also included in the technical idea of ​​this disclosure. [Explanation of Symbols]

[0120] A1,A2,A3,A4,A5,A6,A7,A8,A9,A10,A11 Information processing equipment 11,211,711 Acquisition Department 12,212,712,1012 Judgment section 13,213,813,913 Output section 214 Image Receiving Section 221,421,721,821,921,1021,1121 Management Database 315,515,615,715,1115 Processing section 316 External Output Section 417,717 Feature Information Identification Unit 5151 Pattern Generation Unit 5152 Molding section 5153 Color conversion unit 6154 Presentation section 6155 Selection and Acquisition Unit 622 Selection and Registration Section 1018 Reception Department 1019 Selection Section

Claims

1. An acquisition means for acquiring characteristic information that indicates the characteristics of the biological information of a target contained in an image, A feature information identification means for performing facial matching on the subject included in the aforementioned image, identifying the subject, and identifying registered feature information associated with the subject, A determination means for comparing the aforementioned characteristic information with the registered characteristic information and determining whether the biometric information can be used illegally according to the comparison result, If the determination means determines that unauthorized use is possible, the output means outputs a warning. An information processing device equipped with the following features.

2. The determination means compares the feature information acquired by the acquisition means with the registered feature information that has been registered in advance, and makes a determination according to the result of the comparison. The information processing apparatus according to claim 1.

3. The output means outputs the warning to at least one of the subject and the person who made the image processable in the information processing device. The information processing apparatus according to claim 1 or 2.

4. Processing means that processes the image by adding processing information to the region in the image corresponding to the feature region in the image from which the acquisition means acquires the feature information. The information processing apparatus according to claim 1 or 2, further comprising the above.

5. When outputting the aforementioned image to the outside of the information processing device, if the determination means determines that it can be used illegally, the processing means processes the image and outputs the processed image to the outside of the information processing device. The information processing apparatus according to claim 4, further comprising the above.

6. The aforementioned processing means is In the region corresponding to the iris region including the iris of the subject, which is the characteristic region, Similar iris information to the iris region as the processing information The image is processed by adding the following: The information processing apparatus according to claim 5.

7. A registration means that registers feature information including first feature information obtained by a first extraction engine that extracts feature information using a first extraction method, and second feature information obtained by one or more second extraction engines that extract feature information using extraction methods different from the first extraction method, The system further comprises a feature information identification means for identifying one or more registered feature information that is associated with the object included in the image, from the feature information registered in the registration means, The acquisition means can use the first extraction engine and the one or more second extraction engines. The determination means compares the processed feature information obtained by the acquisition means from the image processed by the processing means with the one or more registered feature information. The processing means changes the processing method and performs the processing according to the verification result by the determination means. The information processing apparatus according to claim 5.

8. From the biological information of the subject contained in the image, characteristic information that represents the features of that biological information is obtained. The subject included in the aforementioned image is identified through facial recognition, the subject is identified, and the registered characteristic information associated with the subject is identified. The characteristic information and the registered characteristic information are compared, and a determination is made as to whether or not the biometric information can be misused based on the comparison result. If it is determined that unauthorized use is occurring, a warning will be issued. The information processing method performed by computers.

9. On the computer, From the biological information of the subject contained in the image, characteristic information that represents the features of that biological information is obtained. The subject included in the aforementioned image is identified through facial recognition, the subject is identified, and the registered characteristic information associated with the subject is identified. The characteristic information and the registered characteristic information are compared, and a determination is made as to whether or not the biometric information can be misused based on the comparison result. If it is determined that unauthorized use is occurring, a warning will be issued. A computer program that executes an information processing method.

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