Information processing device, information processing method, and recording medium

Abstract

This information processing device is provided with: an acquisition means that acquires a fingerprint image; and an output means that outputs information pertaining to the likelihood that a fingerprint included in the fingerprint image is a toeprint, using an inference model that, when the fingerprint image is input, infers the likelihood.

Description

Information processing device, information processing method, and recording medium

[0001] The present disclosure relates to the technical fields of an information processing device, an information processing method, and a recording medium.

[0002] It is known to perform analysis using multiple fingers of a subject. Patent Literature 1 discloses generating a biometric identifier using captured images of multiple fingers of a user for the purpose of authenticating / identifying a user according to the captured biometrics and determining the user's existence, and preventing false authentication due to impersonation by capturing one or more images of the user's fingers and analyzing the captured images for signs of existence.

[0003] Special Publication No. 2020-501264

[0004] This disclosure aims to improve upon the related art discussed above.

[0005] One aspect of the information processing device disclosed herein includes an acquisition means for acquiring a fingerprint image, and an output means for, when the fingerprint image is input, outputting information regarding the likelihood that the fingerprint included in the fingerprint image is that of a toe using an inference model that infers the likelihood.

[0006] One aspect of the information processing method disclosed herein is an information processing method executed by a computer, which acquires a fingerprint image, and when the fingerprint image is input, outputs information regarding the likelihood that the fingerprint contained in the fingerprint image is that of a toe using an inference model that infers the likelihood.

[0007] One aspect of the recording medium of this disclosure is a recording medium having recorded thereon a computer program that causes a computer to execute an information processing method that acquires a fingerprint image, and when the fingerprint image is input, uses an inference model that infers the likelihood that the fingerprint contained in the fingerprint image is that of a toe, and outputs information regarding the likelihood.

[0008] FIG. 1 is a block diagram showing the configuration of an information processing device according to the present disclosure. FIG. 2 is a flowchart showing the flow of information processing operations in an information processing device according to the present disclosure. FIG. 3 is a block diagram showing the configuration of an information processing device according to the present disclosure. FIG. 4 is a flowchart showing the flow of information processing operations in an information processing device according to the present disclosure. FIG. 5 is a schematic diagram showing an information processing method in an information processing device according to the present disclosure. FIG. 6 is a block diagram showing the configuration of an information processing device according to the present disclosure. FIG. 7 is a block diagram showing the configuration of an information processing device according to the present disclosure.

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

[0010] A first embodiment of an information processing device, an information processing method, and a recording medium will be described below. Hereinafter, the first embodiment of the information processing device, the information processing method, and the recording medium will be described using an information processing device 1 according to this disclosure. [1-1: Configuration of Information Processing Device 1]

[0011] The configuration of an information processing device 1 according to this disclosure will be described with reference to Fig. 1. Fig. 1 is a block diagram showing the configuration of an information processing device 1 according to this disclosure.

[0012] 1, the information processing device 1 includes a calculation device 11, a storage device 12, and a communication device 13. The calculation device 11, the storage device 12, and the communication device 13 may be connected via a data bus 16.

[0013] The arithmetic device 11 includes at least one processor (i.e., one processor or multiple processors) as hardware. The processor may include, for example, a processor conforming to a von Neumann computer architecture. The processor conforming to the von Neumann computer architecture may include at least one of a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit). The processor may include, for example, a processor conforming to a non-von Neumann computer architecture. The processor conforming to the non-von Neumann computer architecture may include at least one of an FPGA (Field Programmable Gate Array) and an ASIC (Application Specific Circuit).

[0014] The arithmetic device 11 reads a computer program 121 including at least one of computer program code and computer program instructions. For example, the arithmetic device 11 may read the computer program 121 stored in the storage device 12. For example, the arithmetic device 11 may read the computer program 121 stored in a computer-readable, non-transitory recording medium using a recording medium reading device (not shown) included in the information processing device 1. The computer program 121 read from the recording medium may be stored in the storage device 12. The arithmetic device 11 may acquire (i.e., download or read) the computer program 121 from a device (not shown) located outside the information processing device 1 via the communication device 13 (or another communication device). The downloaded computer program 121 may be stored in the storage device 12.

[0015] The arithmetic device 11 executes the loaded computer program 121. As a result, logical functional blocks for executing processing to be performed by the information processing device 1 (e.g., information processing described below) are realized within the arithmetic device 11. In other words, the arithmetic device 11, together with the storage device 12, etc. in which the computer program 121 is recorded (in other words, together with the storage device 12 and the computer program 121 recorded in the storage device 12, etc.), can function as a controller or computer for realizing the logical functional blocks for executing processing to be performed by the information processing device 1. In other words, the at least one processor included in the arithmetic device 11, the memory (recording medium) included in the storage device 12, etc., and the computer program 121 are configured to cause the information processing device 1 to perform processing to be performed by the information processing device 1 (e.g., information processing described below). The arithmetic device 11 may output information to another computer, cloud server, or other device (not shown) provided outside the information processing device 1 via the communication device 13 (or other communication device).

[0016] The recording medium for recording the computer program 121 executed by the arithmetic device 11 may be at least one of a CD-ROM, CD-R, CD-RW, flexible disk, MO, DVD-ROM, DVD-RAM, DVD-R, DVD+R, DVD-RW, DVD+RW, and Blu-ray (registered trademark) optical disk, magnetic medium such as magnetic tape, magneto-optical disk, semiconductor memory such as USB memory, and any other medium capable of storing a program. The recording medium may include a device capable of recording the computer program 121 (for example, a general-purpose device or a dedicated device in which the computer program 121 is implemented in a state in which it can be executed in at least one of the forms of software and firmware). Furthermore, each process or function included in the computer program 121 may be realized by a logical processing block realized within the arithmetic device 11 when the arithmetic device 11 (i.e., processor) executes the computer program 121, or may be realized by hardware such as a predetermined gate array (FPGA (Field Programmable Gate Array), ASIC (Application Specific Integrated Circuit)) included in the arithmetic device 11, or may be realized in a form that mixes logical processing blocks and partial hardware modules that realize some elements of the hardware.

[0017] An inference model that can be constructed by machine learning is implemented within the arithmetic device 11 by the arithmetic device 11 executing the computer program 121. An example of an inference model that can be constructed by machine learning is an inference model including a neural network (so-called artificial intelligence (AI)). In this case, learning of the inference model may include learning of parameters of the neural network (e.g., at least one of a weight and a bias). The arithmetic device 11 performs information processing using the inference model. An inference model that has been constructed by machine learning may be implemented in the arithmetic device 11. An inference model that has been constructed by offline machine learning may be implemented in the arithmetic device 11. Furthermore, the inference model implemented in the arithmetic device 11 may be updated by online machine learning on the arithmetic device 11. Alternatively, the arithmetic device 11 may perform information processing using an inference model implemented in a device external to the arithmetic device 11 (i.e., a device provided outside the information processing device 1) in addition to or instead of the inference model implemented in the arithmetic device 11.

[0018] 1 shows an example of logical functional blocks implemented in a computing device 11 for executing information processing. As shown in FIG. 1, an acquisition unit 111 and an output unit 112 are implemented in the computing device 11. The output unit 112 executes estimation processing using the above-described inference model. The processing performed by the acquisition unit 111 and the output unit 112 will be described with reference to FIG. 2.

[0019] The storage device 12 includes at least one memory capable of storing desired data. In other words, the storage device 12 includes at least one memory containing desired data. For example, the storage device 12 may store a computer program 121 executed by the arithmetic device 11. In this case, the storage device 12 (memory) may be used as the above-mentioned recording medium for recording the computer program 121 executed by the arithmetic device 11. The storage device 12 may temporarily store data used by the arithmetic device 11 when the arithmetic device 11 is executing the computer program 121. The storage device 12 may also store data to be stored long-term by the information processing device 1. The storage device 12 may include at least one of a RAM (Random Access Memory), a ROM (Read Only Memory), a hard disk device, a magneto-optical disk device, an SSD (Solid State Drive), and a disk array device. In other words, the storage device 12 may include a non-temporary recording medium.

[0020] The communication device 13 can communicate with devices external to the information processing device 1 or 2 via a communication network (not shown). The communication device 13 may be a communication interface based on standards such as Ethernet (registered trademark), Wi-Fi (registered trademark), Bluetooth (registered trademark), or USB (Universal Serial Bus). [1-2: Information Processing Method Executed by the Information Processing Device 1]

[0021] An information processing method executed by the information processing device 1 will be described with reference to Fig. 2. Fig. 2 is a flowchart showing an example of the flow of the information processing method executed by the information processing device 1.

[0022] As shown in Fig. 2, the acquisition unit 111 acquires a fingerprint image (step S11). The output unit 112 uses an inference model to output information indicating the likelihood that the fingerprint included in the fingerprint image is that of a toe (step S12). When a fingerprint image is input, the inference model infers the likelihood that the fingerprint included in the fingerprint image is that of a toe. The likelihood inferred by the inference model may be a probability, and may be expressed as a value between 0 and 1, for example. In this case, the output unit 112 may output a value between 0 and 1. [1-3: Technical Effects of Information Processing Device 1]

[0023] The information processing device 1 according to this disclosure can provide information indicating the likelihood that a fingerprint included in a fingerprint image is a toeprint by using an inference model. [2: Second Embodiment]

[0024] A second embodiment of an information processing device, an information processing method, and a recording medium will be described below. Hereinafter, the second embodiment of an information processing device, an information processing method, and a recording medium will be described using an information processing device 2 according to this disclosure. [2-1: Configuration of Information Processing Device 2]

[0025] The configuration of the information processing device 2 according to this disclosure will be described with reference to Fig. 3. Fig. 3 is a block diagram showing the configuration of the information processing device 2 according to this disclosure.

[0026] 3 , the information processing device 2 may further include an input device 14 and an output device 15 in addition to the calculation device 11, the storage device 12, and the communication device 13. However, the information processing device 2 does not have to include at least one of the input device 14 and the output device 15. The calculation device 11, the storage device 12, the communication device 13, the input device 14, and the output device 15 may be connected via a data bus 16. The output unit 212 realized in the calculation device 11 may include an estimation unit 2121 and a determination unit 2122.

[0027] The input device 14 is a device that accepts information input to the information processing device 2 from outside the information processing device 2. For example, the input device 14 may include an operation device (e.g., at least one of a keyboard, a mouse, and a touch panel) that can be operated by an operator of the information processing device 2. For example, the input device 14 may include a reading device that can read information recorded as data on a recording medium that can be externally attached to the information processing device 2.

[0028] The output device 15 is a device that outputs information to the outside of the information processing device 2. For example, the output device 15 may output information as an image. That is, the output device 15 may include a display device (a so-called display) that can display an image showing the information to be output. For example, the output device 15 may output information as sound. That is, the output device 15 may include an audio device (a so-called speaker) that can output sound. For example, the output device 15 may output information on paper. That is, the output device 15 may include a printing device (a so-called printer) that can print desired information on paper.

[0029] Like the information processing device 1, the information processing device 2 is configured as a device for determining whether a fingerprint is that of a toe. The information processing device 2 determines whether a fingerprint is that of a toe based on the positional relationship between the fingers in the fingerprint image. [2-2: Information Processing Method Executed by the Information Processing Device 2]

[0030] An information processing method executed by the information processing device 2 will be described with reference to Figures 4 and 5. Figure 4 is a flowchart showing an example of the flow of the information processing method executed by the information processing device 2. Figure 5(a) illustrates the tips of the toes, and Figure 5(b) illustrates the tips of the fingers.

[0031] 4, the acquisition unit 211 acquires a fingerprint image (step S21). The acquisition unit 211 may acquire a fingerprint image including fingerprints of each finger of one hand.

[0032] As shown in Fig. 5(a), toes tend to be aligned in a straight line from the index finger to the little finger. In contrast, as shown in Fig. 5(b), the middle finger is longer than the index finger, and the index finger to the little finger are rarely aligned in a straight line. Therefore, the estimation unit 2121 in this embodiment uses an inference model to estimate the likelihood that the fingerprint is a toe fingerprint (hereinafter referred to as "toe-likeliness") based on whether the positional relationship between the fingers in the fingerprint image is likely to be that between fingers on a hand or that between toes on a foot (step S22).

[0033] The estimation unit 2121 uses an inference model to detect the fingerprint region of each finger from the fingerprint image and infers the likelihood of a toe based on the positional relationship between a straight line (the dashed line shown in FIG. 5 ) connecting the centers of the fingerprint regions of the four outer fingers (the index finger F2 or H2 and the little finger F5 or H5 shown in FIG. 5 ) excluding the thumb and the center of the fingerprint region of the inner fingers (the middle finger F3 or H3 and the ring finger F4 or H4 shown in FIG. 5 ). The estimation unit 2121 may use the inference model to estimate that the closer the distance between the line and the center of the inner finger, the higher the likelihood of a toe. The center of the fingerprint region of a finger may be the center of the fingerprint region of the finger. Note that each of the rectangular fingerprint regions F2, F3, F4, F5, H2, H3, H4, and H5 surrounded by dashed lines shown in FIG. 5 may be an area cut out from the fingerprint image for minutiae extraction.

[0034] The determination unit 2122 determines whether the fingerprint is a toe fingerprint based on the toe-likelihood (step S23). For example, the determination unit 2122 may determine that the fingerprint included in the fingerprint image is a toe fingerprint if the toe-likelihood exceeds a predetermined value.

[0035] If the fingerprint is determined to be that of a toe (step S23: Yes), the output unit 212 outputs an alert (step S24). The output unit 212 may control a display serving as the output device 15 to display the alert. The output unit 212 may control a speaker serving as the output device 15 to output an alert sound. The output unit 212 may control the storage device 12 to store information indicating that the fingerprint in the acquired fingerprint image is that of a toe in the storage device 12. The output unit 212 may control the communication device 13 to transmit information indicating that the fingerprint in the acquired fingerprint image is that of a toe to an external device. [2-3: Technical Effects of Information Processing Device 2]

[0036] In some cases, fingerprint registration applications are accepted using fingerprint images of four fingers (excluding the thumb), and the fingerprints of each finger are registered. While fingerprint registration applications are usually made using fingerprint images of the hand, it is also possible to apply for fingerprint registration using fingerprint images of toes. Therefore, it is necessary to detect whether the fingerprints in the applied fingerprint images are from fingers or toes.

[0037] The information processing device 2 according to this disclosure can detect whether the fingerprint in a fingerprint image is from a finger or a toe by utilizing the characteristic that the positional relationship between fingers in a fingerprint image is different between a foot and a hand. [3: Third Embodiment]

[0038] A third embodiment of an information processing device, an information processing method, and a recording medium will be described. Hereinafter, a third embodiment of an information processing device, an information processing method, and a recording medium will be described using an information processing device 3 according to this disclosure.

[0039] Like the information processing device 1 and the information processing device 2, the information processing device 3 is configured as a device for determining whether a fingerprint is that of a toe. The information processing device 3 differs from the information processing device 2 in the operation of the estimation unit 3121. The estimation unit 3121 estimates whether a fingerprint is likely to be that of a toe based on the aspect ratio of the fingerprint region. [3-1: Information Processing Method Executed by the Information Processing Device 3]

[0040] The information processing operation of the information processing device 3 will be described with reference to Fig. 7. Fig. 7(a) illustrates the tip of a toe, and Fig. 7(b) illustrates the tip of a finger.

[0041] As shown in Figure 7(a), the area above the first joint of a toe tends to be roughly square. Therefore, the fingerprint area of ​​a toe tends to be roughly square. In contrast, as shown in Figure 7(b), the area above the first joint of a finger tends to be vertically long rectangular. Therefore, the fingerprint area of ​​a hand tends to be vertically long rectangular.

[0042] Therefore, the estimation unit 3121 in the third embodiment uses an inference model to estimate that the closer the aspect ratio of each fingerprint region is to 1, the higher the likelihood of it being a toe. The aspect ratio may be the ratio between the length of the fingerprint region in the longitudinal direction and the length of the fingerprint region in the lateral direction.

[0043] The estimation unit 3121 may perform estimation based on the positional relationship between fingers in the fingerprint image of the second embodiment, in addition to estimation based on the aspect ratio of the fingerprint region. [3-2: Technical Effects of the Information Processing Device 3]

[0044] The information processing device 3 according to this disclosure can detect whether the fingerprint in a fingerprint image is from a finger or a toe by utilizing the feature that the aspect ratio of the fingerprint area is different between the foot and the hand. [4: Fourth Embodiment]

[0045] Fourth Embodiment of Information Processing Apparatus, Information Processing Method, and Recording Medium Will Be Described Hereinafter, a fourth embodiment of an information processing apparatus, an information processing method, and a recording medium will be described using an information processing apparatus 4 according to this disclosure.

[0046] Like the information processing devices 1 to 3, the information processing device 4 is configured as a device for determining whether a fingerprint is that of a toe. The information processing device 4 differs from the information processing devices 2 and 3 in the operation of the estimation unit 4121. The estimation unit 4121 estimates whether a fingerprint is likely to be that of a toe based on the shape of the center of the fingerprint area in addition to at least one of the positional relationship between the fingers in the fingerprint image and the aspect ratio of the fingerprint area. [4-1: Information Processing Method Executed by Information Processing Device 4]

[0047] The information processing operation of the information processing device 4 will be described with reference to Fig. 7 again. As described above, Fig. 7(a) illustrates the toes, and Fig. 7(b) illustrates the fingers.

[0048] As shown in Fig. 7(b), the central part of the fingerprint region of fingers is likely to be loop-shaped or arch-shaped. In contrast, as shown in Fig. 7(a), the central part of the fingerprint region of toes is less likely to be loop-shaped or arch-shaped. In many cases, the central part of the fingerprint region of toes cannot be determined to be loop-shaped or arch-shaped. For example, the pattern on toes may be wavy.

[0049] Therefore, the estimation unit 4121 in the fourth embodiment uses an inference model to estimate a high likelihood of a toe when the shape of the center of the fingerprint region does not appear to be loop-shaped or arch-shaped. The inference model may infer a high likelihood of a toe when neither a core nor a delta exists in the fingerprint region. [4-2: Technical Effects of the Information Processing Device 4]

[0050] The information processing device 4 according to this disclosure can detect whether the fingerprint in a fingerprint image is from a finger or a toe by utilizing the feature that the shape of the center of the fingerprint area is different between the toe and the hand. [5: Fifth Embodiment]

[0051] A fifth embodiment of an information processing device, an information processing method, and a recording medium will be described below. Hereinafter, the fifth embodiment of an information processing device, an information processing method, and a recording medium will be described using an information processing device 5 according to this disclosure. [5-1: Configuration of Information Processing Device 5]

[0052] The information processing device 5 is configured as a device for estimating the likelihood of a toe, similar to the information processing devices 1 to 4. Furthermore, the information processing device 5 is configured as a device for learning the inference operation of an inference model. As shown in FIG. 9, in the calculation device 11 of the fifth embodiment, in addition to an acquisition unit 511 and an output unit 512, a learning unit 513 is further realized. [5-2: Information processing method executed by the information processing device 5]

[0053] The learning unit 513 trains the inference model to learn a method for determining the likelihood of a toe based on at least one of the positional relationship between fingers in a fingerprint image and the aspect ratio of the fingerprint region.

[0054] The learning unit 513 may train the inference model so that the closer the distance between the line connecting the centers of the fingerprint regions of the four outer fingers (index finger and little finger) excluding the thumb and the center of the fingerprint region of the inner fingers (middle finger and ring finger), the higher the likelihood of the region being a toe. The learning unit 513 may also train the inference model so that the closer the aspect ratio of each fingerprint region is to 1, the higher the likelihood of the region being a toe.

[0055] The learning unit 513 may also train the inference model to learn a method for determining the likelihood of a toe based on the shape of the center of the fingerprint area, in addition to at least one of the positional relationship between fingers in the fingerprint image and the aspect ratio of the fingerprint area. The learning unit 513 may train the inference model so that it can highly infer the likelihood of a toe when the shape of the center of the fingerprint area does not appear to be loop-shaped or arch-shaped.

[0056] The learning unit 513 may train the inference model so that it can infer the likelihood of a toe by integrating the likelihood of a toe based on the positional relationship between the fingers in the fingerprint image, the aspect ratio of the fingerprint area, and the shape of the center of the fingerprint area. Furthermore, the learning unit 513 may train the inference model so that it can infer the likelihood of a toe by weighting the likelihood of a toe based on the positional relationship between the fingers in the fingerprint image over the likelihood of a toe based on the shape of the center of the fingerprint area. [5-3: Technical Effects of the Information Processing Device 5]

[0057] The information processing device 5 according to this disclosure can provide an inference model that can infer the likelihood that a fingerprint included in a fingerprint image is a toeprint. [6: Supplementary Note]

[0058] The above-described embodiments can be further described as in the following supplementary notes, but are not limited to them. [Supplementary Note 1] An information processing device comprising: acquisition means for acquiring a fingerprint image; and output means for, when the fingerprint image is input, outputting information regarding the likelihood that a fingerprint included in the fingerprint image is that of a toe, using an inference model that infers the likelihood of the fingerprint included in the fingerprint image being that of a toe. [Supplementary Note 2] The information processing device according to Supplementary Note 1, wherein the inference model infers the likelihood based on a positional relationship between fingers in the fingerprint image. [Supplementary Note 3] The information processing device according to Supplementary Note 1, wherein the inference model infers the likelihood based on an aspect ratio of a fingerprint region in the fingerprint image. [Supplementary Note 4] The information processing device according to Supplementary Note 1, wherein the inference model infers the likelihood based on at least one of the positional relationship between fingers in the fingerprint image and the aspect ratio of the fingerprint region in the fingerprint image, and the shape of a central portion of the fingerprint region. [Supplementary Note 5] The information processing device according to Supplementary Note 1, wherein the output means includes: estimation means for estimating the likelihood using the inference model; and determination means for determining whether the fingerprint is that of a toe based on the likelihood, and outputs an alert when the fingerprint is determined to be that of a toe. [Supplementary Note 6] The information processing device according to Supplementary Note 2, wherein the inference model infers the likelihood based on whether the positional relationship between fingers in the fingerprint image is likely to be that of fingers on a hand or that of toes. [Supplementary Note 7] The information processing device according to Supplementary Note 2, wherein the inference model infers the likelihood based on the positional relationship between a straight line connecting the outer centers of the fingerprint areas of the four outer fingers excluding the thumb, and the inner center of the fingerprint area of ​​the inner finger. [Supplementary Note 8] The information processing device according to Supplementary Note 7, wherein the inference model infers the likelihood based on the positional relationship between a straight line connecting the outer centers of the fingerprint areas of the four outer fingers excluding the thumb, and the inner center of the fingerprint area of ​​the inner finger. [Supplementary Note 9] The information processing device according to Supplementary Note 3, wherein the inference model infers that the greater the aspect ratio of the fingerprint region, the higher the likelihood.[Supplementary Note 10] The information processing device according to Supplementary Note 4, wherein the inference model infers that the likelihood is high when the shape of the center of the fingerprint region does not appear to be loop-shaped or arch-shaped. [Supplementary Note 11] The information processing device according to claim 1, further comprising: learning means for causing the inference model to learn a method for determining the likelihood. [Supplementary Note 12] The information processing device according to Supplementary Note 11, wherein the learning means causes the inference model to learn a method for determining the likelihood based on at least one of the positional relationship between fingers in the fingerprint image and the aspect ratio of the fingerprint region in the fingerprint image, and the shape of the center of the fingerprint region. [Supplementary Note 13] An information processing method executed by a computer, comprising: acquiring a fingerprint image; and, when the fingerprint image is input, outputting information regarding the likelihood using an inference model that infers the likelihood that a fingerprint included in the fingerprint image is that of a toe. [Supplementary Note 14] A recording medium having recorded thereon a computer program that causes a computer to execute an information processing method that acquires a fingerprint image, and when the fingerprint image is input, outputs information regarding the likelihood that the fingerprint included in the fingerprint image is a toe print using an inference model that infers the likelihood that the fingerprint included in the fingerprint image is a toe print.

[0059] This disclosure may be modified as appropriate within the scope that does not contradict the gist or idea of ​​the invention that can be read from the claims and the entire specification, and information processing devices, information processing methods, and recording media that involve such modifications are also included in the technical idea of ​​this disclosure.

[0060] 1, 2, 3, 4, 5 Information processing device 111, 211, 511 Acquisition unit 112, 212, 512 Output unit 2121, 3121, 4121, 5121 Estimation unit 2122 Determination unit 513 Learning unit

Claims

1. An information processing device comprising: an acquisition means for acquiring a fingerprint image; and an output means for, when the fingerprint image is input, outputting information regarding the likelihood that the fingerprint contained in the fingerprint image is that of a toe, using an inference model that infers the likelihood.

2. The information processing device according to claim 1, wherein the inference model infers the likelihood based on the positional relationship between fingers in the fingerprint image.

3. The information processing device according to claim 1, wherein the inference model infers the likelihood based on the aspect ratio of the fingerprint region in the fingerprint image.

4. The information processing device described in claim 1, wherein the inference model infers the likelihood based on the positional relationship between fingers in the fingerprint image, and at least one of the aspect ratio of the fingerprint area in the fingerprint image, and the shape of the center of the fingerprint area.

5. The information processing device of claim 1, wherein the output means includes an estimation means for estimating the likelihood using the inference model, and a judgment means for judging whether the fingerprint is a toeprint based on the likelihood, and outputs an alert if the fingerprint is judged to be a toeprint.

6. The information processing device according to claim 2, wherein the inference model infers the likelihood based on whether the positional relationship between fingers in the fingerprint image is likely to be the positional relationship between fingers on a hand or the positional relationship between toes on a toe.

7. The information processing device described in claim 2, wherein the inference model infers the likelihood based on the positional relationship between the straight line connecting the outer centers of the fingerprint areas of the four outer fingers excluding the thumb and the inner center of the fingerprint area of the inner finger.

8. The information processing device according to claim 7, wherein the inference model infers that the closer the distance between the straight line and the inner center, the higher the likelihood.

9. The information processing device according to claim 3, wherein the inference model infers that the greater the aspect ratio of the fingerprint region, the higher the likelihood.

10. An information processing device according to claim 4, wherein the inference model infers that the likelihood is high when the shape of the center of the fingerprint area does not appear to be loop-shaped or arch-shaped.

11. An information processing device as described in claim 1, further comprising a learning means for causing the inference model to learn a method for determining the likelihood.

12. The information processing device described in claim 11, wherein the learning means trains the inference model to learn a method for determining the likelihood based on the positional relationship between fingers in the fingerprint image, and at least one of the aspect ratio of the fingerprint area in the fingerprint image, and the shape of the center of the fingerprint area.

13. An information processing method executed by a computer, comprising: acquiring a fingerprint image; and, when the fingerprint image is input, outputting information relating to the likelihood that the fingerprint contained in the fingerprint image is that of a toe, using an inference model that infers the likelihood of the fingerprint being input.

14. A recording medium having recorded thereon a computer program that causes a computer to execute an information processing method that acquires a fingerprint image, and when the fingerprint image is input, uses an inference model that infers the likelihood that the fingerprint contained in the fingerprint image is that of a toe, and outputs information regarding the likelihood.

Images