JP2021047929A - Information processor - Google Patents

Abstract

To provide a detection device for detecting whether an object is a living body.SOLUTION: An information processor includes face detection means that detects facial regions of a person from images obtained by shooting the person, and determination means that compares the facial regions of the person in the images taken with light in a wavelength range in an infrared band to determine whether it is a living body or a non-living body.SELECTED DRAWING: Figure 2

Description

The present invention relates to an information processing device.

A face recognition technology (hereinafter, simply referred to as face recognition) that authenticates the identity of a person by analyzing a face image captured by a camera is known. In such face recognition, there is a problem of fraudulent authentication in which a person other than the person impersonates the person by using a photograph of the person or the like. In addition, various techniques for preventing fraudulent authentication due to such spoofing are also known.

For example, Patent Document 1 describes a technique for preventing fraudulent authentication by spoofing using a photograph or the like by performing stereoscopic detection using a plurality of facial images having different postures.

Japanese Unexamined Patent Publication No. 2012-069133

However, when a person wears an elaborate disguise mask and disguises himself as another person, the face of this person is three-dimensional, so that the above-mentioned three-dimensional detection technology cannot prevent fraudulent authentication.
In addition, with recent elaborate disguise masks, it may be difficult for humans to visually determine whether or not they have a real face or are wearing a disguise mask. For example, in immigration at an airport, a person wearing a disguise mask may pass a visual verification by an immigration inspector using a forged passport with the same photo as the disguise mask.
Not limited to this example of a disguise mask, it is possible to disguise in the same way by using a disguise object (for example, a sheet-like object that looks like the skin) that is difficult to visually distinguish from the skin. is there. Under these circumstances, a technique for detecting with high accuracy whether or not the surface of a person's face is a living body such as skin is desired.

The present invention has been made in view of such circumstances, and an object of the present invention is to provide an information processing device that detects whether or not a living body is a living body with high accuracy.

In order to achieve the above object, the information processing device according to the first aspect of the present invention is
A face detection means for detecting the face area of the person from an image of the person, and
A determination means for determining whether the surface of the person's face is skin based on the person's face region in an image captured using light in the wavelength range in the infrared band.
To be equipped.

In order to achieve the above object, the detection method according to the second aspect of the present invention is
The step of detecting the face area of the person from the image of the person, and
A step of determining whether the surface of the person's face is skin based on the person's face region in an image captured using light in the wavelength range in the infrared band.
To be equipped.

In order to achieve the above object, the program according to the third aspect of the present invention is
On the computer
The step of detecting the face area of the person from the image of the person, and
A step of determining whether the surface of the person's face is skin based on the person's face region in an image captured using light in the wavelength range in the infrared band.
It is a program to execute.

According to the present invention, it is possible to detect with high accuracy whether or not it is a living body such as skin.

It is a figure which showed the spectrum of the luminance of each reflected light when the human skin and the silicon resin were irradiated with light. It is a block diagram which shows the structure of the biological detection apparatus in each embodiment. It is a figure which shows the structure of the lighting part in each embodiment. It is a figure which shows the structure of the imaging part in each embodiment. It is a figure which shows an example of an infrared image. It is a figure which shows each region of the infrared image shown in FIG. 4A. It is a flowchart which shows an example of the flow of the biological detection processing. It is a flowchart which shows the image acquisition process of a living body detection process. It is a flowchart which shows an example of the flow of the biological determination process of Embodiment 1. It is a flowchart which shows an example of the flow of the biological determination process of Embodiment 2. It is a flowchart which shows an example of the flow of the biological determination process of Embodiment 3. It is a flowchart which shows an example of the flow of the biological detection processing of Embodiment 4. It is a figure which shows an example of an infrared image. It is a figure which shows each region of the infrared image shown in FIG. 11A. It is a flowchart which shows an example of the flow of the biological determination process of Embodiment 4.

Hereinafter, each embodiment of the present invention will be described in detail with reference to the drawings.

(Embodiment 1)
The biological detection device 1 according to the first embodiment of the present invention is installed, for example, near the immigration gate of the immigration checkpoint at an airport. The biological detection device 1 determines whether the surface of the face of a person who is going to pass through the immigration gate is skin (living body) or is covered with a disguise mask or the like, and the surface of the face is skin. If not, it has a function to notify that fact.

The disguise mask that the biological detection device 1 wants to distinguish from the skin is, for example, an elaborate mask used in a special make-up in which a young actor plays the role of an old man in a movie or the like, and is visually visible (for example, a living body (for example). , Human skin) is a mask made using a pseudo-living body (for example, silicon resin) that is difficult to distinguish. Therefore, it is difficult for a person to visually determine whether the surface of the face is skin or whether he / she is wearing such a disguise mask.

First, the principle of biological detection by the biological detection device 1 will be described. FIG. 1 is a diagram showing a spectrum of brightness of reflected light when an object is irradiated with light. In this figure, the solid line is the spectrum of the reflected light of the light irradiating the human skin. The dotted line is the spectrum of the reflected light of the light irradiated to the silicon resin. The brightness indicates the intensity of the measured reflected light (indicates the degree of brightness).

In this figure, the brightness of the reflected light when the skin is irradiated with light in the wavelength range near 1280 nm is a predetermined ratio higher than the brightness of the reflected light when the skin is irradiated with light in the wavelength ranges near 1180 nm and 1500 nm. Further, the brightness of the reflected light when the skin is irradiated with light in the wavelength range near 1180 nm is a predetermined ratio higher than the brightness of the reflected light when the light in the wavelength range near 1500 nm is irradiated on the skin. The biological detection device 1 uses such a brightness spectrum peculiar to the skin to compare the brightness of the spectrum of the reflected light in the wavelength regions of around 1180 nm, 1280 nm, and 1500 nm, and whether or not the surface of the face is skin. Is detected.

Furthermore, for silicone resin, which is difficult to visually distinguish from skin, the luminance spectrum of the reflected light between the skin and the silicone resin can be detected more accurately so that the surface of the face is the skin. The difference is used to detect whether or not the surface of the face is skin. The brightness of the reflected light when the silicon resin is irradiated with light in the wavelength range near 1180 nm is smaller than the brightness of the reflected light when the light in the wavelength range near 1500 nm is irradiated on the silicon resin. This is because the silicon resin absorbs light well in the wavelength range near 1180 nm, so that the reflected light is weakened. Therefore, the relationship of the brightness of the reflected light between the vicinity of 1180 nm and the vicinity of 1500 nm of the silicone resin is different from the relationship shown by the skin. Therefore, in the biometric detection device 1, the surface of the face is covered with skin or a mask made of silicone resin by utilizing the difference in the brightness of the reflected light between the skin near 1180 nm and 1500 nm and the silicone resin. Is detected.

Subsequently, the configuration of the biological detection device 1 will be described. As shown in FIG. 2, the biological detection device 1 includes an illumination unit 11, an imaging unit 12, a speaker 13, a display 14, an operation unit 15, an external storage device 16, and a control unit 17.

As shown in FIG. 3A, the illumination unit 11 includes a light source 111 (111A to 111C) in each wavelength range and a relay 112 (112A to 112C) for each light source 111, and lights up based on an instruction from the control unit 17. , The extinguishing is controlled, and the person who is the subject is irradiated with light. The light source 111 is composed of infrared LEDs (Light Emitting Diodes) in each wavelength range. The light source 111A irradiates infrared rays near 1180 nm, the light source 111B irradiates infrared rays near 1280 nm, and the light source 111C irradiates infrared rays near 1500 nm. The spectra of the light emitted by the light sources 111 (111A to 111C) have peaks of 1180 nm, 1280 nm, and 1500 nm, respectively, and have a substantially normal distribution with a half width of about 90 nm. As the light source 111, a halogen light source and a filter that transmits infrared rays in each wavelength range may be used instead of the infrared LED to irradiate infrared rays in each wavelength range. The relay 112 controls the on / off of the power supply to the light source 111 based on the instruction from the control unit 17.

The image pickup unit 12 is a camera that captures an image in a wavelength range of an infrared region (1000 nm to 1700 nm), and captures a subject such as a person illuminated by the illumination unit 11. Under the control of the control unit 17, the imaging unit 12 captures the infrared image A at the timing when the illumination unit 11 irradiates the subject with infrared rays near 1180 nm, and at the timing when the illumination unit 11 irradiates the subject with infrared rays near 1280 nm. The infrared image B is imaged, and the infrared image C is imaged at the timing when the illumination unit 11 irradiates the subject with infrared rays in the vicinity of 1500 nm.

Here, the structure of the imaging unit 12 will be described. As shown in FIG. 3B, the imaging unit 12 includes a lens 121, a shutter 122, and a CMOS (Complementary Metal-Oxide Semiconductor device) image sensor 123.

The lens 121 collects the incident light. The shutter 122 allows the light incident on the lens 121 to pass only during the shooting exposure time, and blocks the light at other times. Further, the CMOS image sensor 123 creates an image in the corresponding wavelength range by converting the light incident from the lens 121 into an electric signal. Specifically, the CMOS image sensor 123 creates infrared images A to C. An image sensor such as a CCD (charge-coupled device) image sensor may be used instead of the CMOS image sensor 123.

Returning to FIG. 2, the speaker 13 outputs sound based on the control of the control unit 17. The display 14 displays various information based on the control of the control unit 17. For example, when it is detected that the surface of a person's face is not skin, a warning sound for notifying the fact is output from the speaker 13 under the control of the control unit 17, and a warning message is displayed on the display 14.

The operation unit 15 includes various buttons and the like, and when the user operates the operation unit 15, outputs a signal corresponding to the operation to the control unit 17.

The external storage device 16 is, for example, a hard disk drive or the like, and serves as a temporary storage place for images captured by the imaging unit 12, or stores various data required for biometric detection processing described later.

The control unit 17 is composed of a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like, and controls the entire biological detection device 1. Specifically, the control process in the control unit 17 is performed by the CPU executing a control program stored in the ROM while temporarily storing various data using the RAM as a work area. The control unit 17 functionally includes an image pickup control unit 170, an image acquisition unit 171, a face detection unit 172, a determination unit 173, a detection unit 174, and a notification unit 175.

The image pickup control unit 170 controls the lighting / extinguishing of the illumination unit 11 and the image pickup operation of the image pickup unit 12. The image acquisition unit 171 acquires images (infrared images A to C) of each wavelength range of the subject.

The face detection unit 172 analyzes the image captured by the image pickup unit 12 to detect the face region of the person. The face detection unit 172 is located in the vicinity of the facial features (eyes, nose, mouth, etc.) from the face region, and has a relatively wide exposed area of the skin, such as a forehead region, a right cheek region, and a left cheek region. Is detected.
The imaging unit 12 captures infrared images A to C of a person from the same point at different timings. Therefore, when the imaging unit 12 captures a stationary subject (for example, the face of a person), the pixel positions of the infrared images A to C do not shift. However, when the imaging unit 12 captures a moving subject (for example, the face of a person), each region detected by the face detection unit 172 from the infrared image A and another image (infrared image) captured at different timings. The pixel position deviates from each region of B and C). In this case, it is necessary to correct the deviation of the infrared images B and C. The method for correcting the image shift of the infrared images B and C is not particularly limited as long as the method can appropriately correct the image shift due to the time difference. For example, the direction and length in which the facial feature region of the face region captured by the infrared images B and C deviates from the facial feature region of the face region captured by the infrared image A are measured, and the infrared images B and C are used. The imaged face area is corrected by shifting the shifted length in the direction opposite to the shifted direction.

A known detection method can be adopted for the detection of each region by the face detection unit 172.
For example, the face detection unit 172 applies a Sobel filter process to the infrared image A to detect a contour line, and extracts the face contour by pattern matching of the face contour. Then, the face detection unit 172 detects the contour line of the eyebrows from the top and the contour line of the mouth from the bottom within the range of the extracted face contour, and surrounds the left and right edges of the face, and the positions above and below the eyebrows. The area to be detected is detected as a face area. Then, the face detection unit 172 detects the black spot corresponding to the eyeball as the eye position from the detected face area, and from the face area and the eye position, the forehead is based on general facial statistical data. The region, the right cheek region, and the left cheek region may be specified. The face detection unit 172 detects facial features such as eyes, nose, and mouth by a known method, and when these features are detected, the areas in the vicinity thereof are the forehead area, the right cheek area, and the like. It may be specified as the left cheek area.

Here, the processing of the face detection unit 172 described above will be described with reference to specific examples. For example, consider a case where an infrared image A as shown in FIG. 4A is given as a processing target of the face detection unit 172. In this case, the face detection unit 172 detects the face region R1 as shown in FIG. 4B. Further, the face detection unit 172 detects the forehead region R2, the right cheek region R3, and the left cheek region R4 from the face region R1.

Returning to FIG. 2, in the determination unit 173, the brightness of each region (forehead region, right cheek region, left cheek region) specified by the face detection unit 172 between the infrared images A to C is indicated by the diagonal line in FIG. It is determined whether or not the relationship indicated by the skin in each wavelength range is satisfied.

The detection unit 174 detects whether or not the surface of the person's face is skin from the determination result of the determination unit 173. When the detection unit 174 determines that the surface of the face is not skin, the notification unit 175 controls the speaker 13 and the display 14 to notify the fact.

Subsequently, the biological detection process executed by the biological detection device 1 will be described. The immigration officer guides the immigrant person into the angle of view of the imaging unit 12 of the biological detection device 1 installed near the immigration gate. At this time, the clerk performs an operation of instructing the start of the process via the operation unit 15 of the biological detection device 1. In response to this operation, the control unit 17 of the biological detection device 1 executes the biological detection process shown in the flowchart of FIG.

The biodetection device 1 may be provided with a motion sensor, and when the motion sensor detects an immigrant, the biodetection process may be executed. Alternatively, the imaging unit 12 may be set to the live view state, and when the control unit 17 determines that a person has been photographed, the biological detection process may be automatically executed.
Further, in the case of a person wearing a disguise mask, there is a risk of being wary when looking at the lens or the like of the imaging unit 12, so for example, a magic mirror or the like is installed in front of the imaging unit 12 so that the person is not noticed. The biometric detection process may be started by taking an image as described above.

In the biological detection process of FIG. 5, first, the image pickup control unit 170 turns on the light sources 111 (111A to 111C) of the illumination unit 11 and controls the image pickup unit 12. The image acquisition unit 171 acquires images (infrared images A to C) of each wavelength range of the person (step S11).

Here, the details of the image acquisition process will be described with reference to the flowchart of FIG.

First, the image pickup control unit 170 selects one of the light sources 111A to 111C that have not been selected in the image acquisition process this time (step S111). Hereinafter, the light source 111 selected in step S111 is also referred to as the selected light source 111.

Subsequently, the image pickup control unit 170 instructs the relay 112 corresponding to the selected light source 111 to supply electric power, and turns on the selected light source 111 (step S112). As a result, the light in the wavelength range of the selected light source 111 is applied to the subject.

Subsequently, the image acquisition unit 171 acquires an infrared image of the subject irradiated with light from the selected light source 111 (step S113). Specifically, the shutter 122 is opened for the exposure time, and the light incident from the lens 121 is passed through the CMOS image sensor 123. The CMOS image sensor 123 creates an image in the corresponding wavelength range by converting the incident light into an electric signal. Specifically, in this imaging process, an infrared image of the subject irradiated with the light from the selected light source 111 is obtained. When the imaging of the infrared image is completed, the imaging control unit 170 instructs the relay 112 corresponding to the selected light source 111 to stop the power supply, and turns off the selected light source 111 (step S114).

Subsequently, the image pickup control unit 170 determines whether or not all of the light sources 111A to 111C are selected in the image acquisition process (step S115).

If all of the light sources 111A to 111C are not selected (step S115; No), the process returns to step S111, and the imaging control unit 170 selects the unselected light sources 111A to 111C from the selected light sources 111. A series of processes for photographing the subject irradiated with the light of the above are repeated.

On the other hand, when all of the light sources 111A to 111C are selected (step S115; Yes), the image pickup control unit 170 ends step S11.

When the image pickup control unit 170 performs step S11, an infrared image A in which a subject irradiated with light in a wavelength range near 1180 nm is captured, and an infrared image B in which a subject irradiated with light in a wavelength range near 1280 nm is captured. An infrared image C in which a subject irradiated with light in a wavelength range near 1500 nm is captured can be obtained.

Returning to FIG. 5, the face detection unit 172 subsequently detects the face region from the acquired infrared images A to C, and also detects the forehead region, the right cheek region, and the left cheek region from the face region (step S12). .. Further, since the infrared images A to C are captured at different timings, the subject (person) may be displaced between the infrared images A to C. When the subject is misaligned between the infrared images A and B, the misalignment of the subject is corrected by a method capable of appropriately correcting the misalignment of the image due to the time difference.

Subsequently, the determination unit 173 compares the brightness of each region (forehead region, right cheek region, left cheek region) between the infrared images A to C acquired in step S11, so that the surface of the person's face is skinned. A biological determination process for determining whether or not the above is performed (step S13).

Here, the details of the biological determination process will be described with reference to the flowchart of FIG. 7.

First, the determination unit 173 selects one unselected region in the current biological determination process from the detected forehead region, right cheek region, and left cheek region (step S131). Hereinafter, the area selected in step S131 is also referred to as a selection area.

Subsequently, the determination unit 173 selects one pixel (for example, the pixel at the center of the selection region) from the selection region for each of the infrared images A to C, and measures the brightness of that pixel (step S132).

Subsequently, the determination unit 173 determines whether or not the measured luminance satisfies the relationship indicated by the skin between the infrared images A to C (step S133). Specifically, the determination unit 173 determines whether or not the brightness measured from the infrared image C is a predetermined ratio lower than the brightness measured from the infrared image A and the infrared image B. This makes it possible to distinguish between human skin and the silicone resin whose brightness near 1180 nm shown in FIG. 1 is smaller than the brightness near 1500 nm.

More specifically, in step S133, the determination unit 173 may determine whether or not all of the following relational expressions (1) to (3) are satisfied. In the relational expressions (1) to (3), IA indicates the brightness measured from the infrared image A, IB indicates the brightness measured from the infrared image B, and IC indicates the brightness measured from the infrared image C. Further, T1 to T3 are coefficients, and the optimum numerical values for biological detection are set in advance from the imaging conditions and the like.
(1) IA> IC × T1
(2) IB> IC × T2
(3) IB> IA × T3
If the above relational expressions (1) and (2) are satisfied, the brightness measured from the infrared image C is a predetermined ratio lower than the brightness measured from the infrared image A and the infrared image B. Further, if the above relational expression (3) is satisfied, the brightness measured from the infrared image A is lower than the brightness measured from the infrared image B by a predetermined ratio.

When it is determined that the measured luminance satisfies the relationship indicated by the skin (step S133; Yes), the determination unit 173 determines that each of the eight pixels around the pixel measured in step S132 for each of the infrared images A to C. The brightness is measured (step S134).

Subsequently, the determination unit 173 determines whether or not the measured luminance satisfies the relationship indicated by the skin between the infrared images A to C in all the surrounding pixels (step S135).

When it is determined that the brightness of the surrounding pixels also satisfies the relationship indicated by the skin (step S135; Yes), the determination unit 173 determines that the surface of the person's face is the skin (step S136), and the biological determination process is performed. Is finished. In the biometric determination process described above, if one pixel in any one of the selected areas (forehead, right cheek, left cheek) and all eight pixels around it satisfy the relationship indicated by the skin, the surface of the face will be affected. It was judged to be skin. The reason is that the disguise mask is usually worn so as to cover the entire face, so if it is found that the surface of the face is skin in any one of the selected areas, the biometric judgment process is performed on the other selected areas. This is because it can be determined that the person is wearing a disguise mask.

On the other hand, when it is determined that the brightness of one pixel in the selected area does not satisfy the relationship indicated by the skin (step S133; No), or the brightness of the surrounding pixels does not satisfy the relationship indicated by the skin. When the determination is made (step S135; No), the determination unit 173 determines whether or not all of the forehead region, the right cheek region, and the left cheek region are selected in the biological determination process (step S137).

When all of the forehead area, the right cheek area, and the left cheek area are not selected (step S137; No), the process returns to step S131, and the determination unit 173 selects an unselected area and pixels in that area. A series of processes for determining whether or not the brightness of the skin satisfies the relationship indicated by the skin and determining whether or not the surface of the face is the skin are repeated.

On the other hand, when all of the forehead area, the right cheek area, and the left cheek area are selected (step S137; Yes), the detection unit 174 detects that the surface of the person's face is not skin (step S138), and the biological determination process is performed. finish.

Returning to FIG. 5, when the biological determination process (step S13) is completed, the detection unit 174 detects whether or not the surface of the face is determined to be skin by the biological determination process (step S14). When the surface of the face is skin (step S14; Yes), the biological detection process ends.

On the other hand, when the surface of the face is not skin (step S14; No), the notification unit 175 controls the speaker 13 and the display 14 to notify the fact (step S15). This allows the staff to detect the disguise of a person trying to pass through the immigration gate and prevent illegal immigration. This completes the biometric detection process.

As described above, the biological detection device 1 according to the first embodiment acquires (imaging) an image of a person irradiated with a plurality of different wavelength ranges, and the relationship between the acquired images and the brightness of the face region indicated by the skin. When it is satisfied, it is determined that the surface of the person's face is skin. This makes use of the difference in the brightness spectrum of the reflected light between human skin and something other than human skin (for example, silicone resin), and whether or not the surface of the human face is skin with high accuracy. Can be detected.

Further, according to the biological detection device 1 according to the first embodiment, a characteristic region (forehead region, right cheek region, left cheek region) having a relatively wide exposed skin area is detected from the face region of the acquired image, and the characteristic region is detected. The brightness of is used to detect whether the surface of a person's face is skin. Therefore, it is not necessary to perform the biological determination process on all the face regions, so that the load on the biological detection process is reduced.

Further, according to the biological detection device 1 according to the first embodiment, it is determined whether or not the surface of the face is skin by using not only the brightness of one pixel but also the brightness of the pixels around the pixel. Therefore, it is possible to detect whether the surface of the face is skin with higher accuracy.

Further, according to the biological detection device 1 according to the first embodiment, since it is detected whether the surface of the face is the skin using only the infrared images A to C, whether the surface of the face is the skin with a relatively small load. Can be detected.

Further, since the illumination unit 11 included in the biological detection device 1 according to the first embodiment uses an infrared LED light source, it is possible to irradiate infrared rays having a peak at the center wavelength of each wavelength range with a sufficient amount of light. .. Therefore, it is possible to detect whether or not the surface of the face is skin with high accuracy. In addition, since the emission of far infrared rays is suppressed, it is difficult for radiant heat to be transmitted to the subject. Therefore, it is possible to prevent a person who is disguised and trying to pass through the immigration gate from detecting the existence of the biological detection device 1 by radiant heat.

Further, as the imaging unit 12 included in the biological detection device 1 according to the first embodiment, an infrared camera that captures an image in an infrared region (1000 nm to 1700 nm) can be used. Therefore, the imaging unit 12 can use a camera including a set of lenses 121, a shutter 122, and a CMOS image sensor 123, omitting a spectroscopic mirror, a CMOS image sensor for each wavelength range, and a filter. be able to. Therefore, the size of the imaging unit 12 can be reduced, and the cost of the imaging unit 12 can be suppressed.

Further, in the biological detection device 1 according to the first embodiment, the imaging unit 12 captures infrared images A to C for each wavelength range irradiated by the illumination unit 11. Therefore, infrared images A to C can be obtained in the time required to capture three infrared images. Therefore, infrared images A to C can be obtained in a short time. Specifically, assuming that the imaging time of one image is about 0.15 seconds, infrared images A to C can be obtained within about 0.5 seconds.

On the other hand, the infrared images similar to the infrared images A to C can be captured by irradiating the subject with light in the infrared wavelength range such as a halogen lamp and using a hyperspectral camera or the like. However, in order to capture an infrared image with a hyperspectral camera, the imaging time is long, so there is a risk that the efficiency of examination at the immigration gate will decrease. Further, the hyperspectral camera is expensive because it requires a spectroscopic mirror and a CMOS image sensor and a filter for each wavelength range, and it is difficult to reduce the size of the camera. Further, since a halogen lamp is used as a light source, a person who is trying to pass through the immigration gate in disguise due to the radiant heat emitted from the halogen lamp may detect the existence of the biological detection device by the radiant heat.

(Embodiment 2)
Subsequently, the biological detection device 2 according to the second embodiment will be described. As shown in FIG. 3, the configuration of each part of the biological detection device 2 is practically the same as that of the biological detection device 1 according to the first embodiment, and only the content of the biological determination process is different.

The biological determination process executed by the biological detection device 2 will be described with reference to the flowchart of FIG. The description of the steps having substantially the same contents as the biological determination process shown in FIG. 7 will be simplified as appropriate. The start timing of the biological determination process in FIG. 8 is the same as that in FIG.

When the biometric determination process is started, the determination unit 173 first selects an unselected area from the detected forehead area, right cheek area, and left cheek area (step S201), and each of the infrared images A to C. One pixel is selected from the selected area, the brightness of the pixel is measured (step S202), and it is determined whether or not the measured brightness satisfies the relationship indicated by the skin between the infrared images A to C (step S202). Step S203).

When it is determined that the brightness satisfies the relationship indicated by the skin between the infrared images A to C (step S203; Yes), the determination unit 173 calculates the score for biological determination in the selected region as 0 (step S203; Yes). Step S204), the process proceeds to step S206.

On the other hand, when it is determined that the brightness does not satisfy the relationship indicated by the skin between the infrared images A to C (step S203; No), the determination unit 173 measures each of the infrared images A to C in step S202. The brightness of each pixel (for example, eight pixels adjacent to the measured pixel) around the pixel is measured. Then, the determination unit 173 calculates the ratio of the brightness between the infrared images A to C that does not satisfy the relationship indicated by the skin among the surrounding pixels as the score of the selected region (step S205), and in step S206. Processing moves. For example, if the brightness between the infrared images A to C in all eight surrounding pixels does not satisfy the relationship indicated by the skin, the score is calculated as 1 (8/8). Further, when the brightness between the infrared images A to C in two of the eight surrounding pixels does not satisfy the relationship indicated by the skin, the score is calculated to be 0.25 (2/8).

In step S206, the determination unit 173 determines whether or not all of the forehead region, the right cheek region, and the left cheek region have been selected. If all of the forehead area, the right cheek area, and the left cheek area are not selected (step S206; No), the process returns to step S201.

When all of the forehead region, the right cheek region, and the left cheek region are selected (step S206; Yes), the determination unit 173 calculates the average of the scores calculated in each of these regions as the final score (step S207). Then, the determination unit 173 determines whether or not the final score is equal to or higher than a predetermined threshold value (for example, 0.5) (step S208).

When the final score is equal to or higher than the threshold value (step S208; Yes), the detection unit 174 detects that the surface of the person's face is not skin (step S209). On the other hand, when the final score is less than the threshold value (step S208; No), the determination unit determines that the surface of the person's face is skin (step S210). This completes the biological determination process.

As described above, in the biological determination process of the second embodiment, the score for biological determination is calculated from each of the forehead region, the right cheek region, and the left cheek region, and it is determined whether or not the surface of the face is skin. Therefore, when the brightness in any one of the regions (cheek region, right cheek region, left cheek region) does not satisfy the relationship with the living body, the living body of the first embodiment immediately determines that the surface of the face is not skin. It is possible to detect whether the surface of the face is skin more accurately than the determination process.

(Embodiment 3)
Subsequently, the biological detection device 3 according to the third embodiment will be described. As shown in FIG. 2, the configuration of each part of the biological detection device 3 is substantially the same as that of the biological detection devices 1 and 2 according to the first and second embodiments, and only the content of the biological determination process is different.

The biological determination process executed by the biological detection device 3 will be described with reference to the flowchart of FIG. The description of the steps having substantially the same contents as the biological determination process shown in FIG. 7 will be simplified as appropriate. Further, the start timing of the biological determination process in FIG. 9 is the same as that in FIG.

When the biological determination process is started, the determination unit 173 first initializes the biological candidate counter and the non-biological candidate counter used for determining the biological body to 0 (step S301).

Subsequently, the determination unit 173 selects one from the forehead region, the right cheek region, and the left cheek region (step S302). Then, the determination unit 173 selects one unselected pixel from the selection area (step S303). Hereinafter, the pixel selected in step S303 is also referred to as a selected pixel.

Subsequently, the determination unit 173 measures the brightness of the selected pixel for each of the infrared images A to C (step S304). Then, the determination unit 173 determines whether or not the measured brightness satisfies the relationship indicated by the skin between the infrared images A to C (step S305).

When it is determined that the measured luminance satisfies the relationship indicated by the skin (step S305; Yes), the determination unit 173 adds 1 to the biological candidate counter (step S306). When it is determined that the measured luminance does not satisfy the relationship indicated by the skin (step S305; No), the determination unit 173 adds 1 to the non-biological candidate counter (step S307).

Subsequently, the determination unit 173 determines whether or not all the pixels in the selection region have been selected (step S308).

When not all pixels have been selected (step S308; No), the process returns to step S303, the determination unit 173 selects one pixel from the selection area, and the biological candidate counter or non-biological candidate is based on the brightness thereof. The process of adding 1 to the counter is repeated.

On the other hand, when all the pixels are selected (step S308; Yes), the determination unit 173 determines whether or not all of the forehead region, the right cheek region, and the left cheek region are selected (step S309). If all of the forehead area, the right cheek area, and the left cheek area are not selected (step S309; No), the process returns to step S302.

When all of the forehead region, the right cheek region, and the left cheek region are selected (step S309; Yes), that is, the biological candidate counter or the non-biological candidate counter is added for all the pixels of the forehead region, the right cheek region, and the left cheek region, respectively. After finishing, the determination unit 173 determines whether or not the biological candidate counter is larger than the value of the non-biological candidate counter (step S310).

When the value of the biological candidate counter is larger than the value of the non-biological candidate counter (step S310; Yes), the detection unit 174 detects that the surface of the face is skin (step S311).

On the other hand, when the value of the biological candidate counter is not larger than the value of the non-biological candidate counter (step S310; No), the detection unit 174 detects that the surface of the face is not skin (step S312). This completes the biological determination process.

As described above, in the biological determination process of the third embodiment, since it is determined whether the surface of the face is skin by using the brightness of all the pixels of the forehead region, the right cheek region, and the left cheek region, it is more accurate in the living body. It becomes possible to detect the existence.

In the biological detection process of FIG. 9, only the biological candidate counter may be used, and biological detection may be performed depending on whether or not the value of the biological candidate counter is equal to or higher than a predetermined value in step S310. For example, by setting a predetermined value to a value of 80% of the total pixels of the forehead area, the right cheek area, and the left cheek area, when 80% or more of the total pixels are biological candidates, the face It can be determined that the surface is skin.

Further, in the biological detection process of FIG. 9, when the brightness of the selected pixels satisfies the relationship indicated by the skin (step S305; Yes), 1 was added to the biological candidate counter in step S306. However, when the brightness of the selected pixel satisfies the relationship indicated by the skin, it is determined whether or not the relationship indicated by the skin is satisfied for the pixels around the selected pixel as in the first embodiment, and only when the relationship is satisfied, the biological candidate counter is set to 1. May be added.

(Embodiment 4)
Subsequently, the biological detection device 4 according to the fourth embodiment will be described. As shown in FIG. 2, the configuration of each part of the biological detection device 4 is substantially the same as that of the biological detection device 1 according to the first embodiment, and only the contents of the biological detection process and the biological determination process are different.

The biological detection process executed by the biological detection device 4 will be described with reference to the flowchart of FIG. The steps having substantially the same contents as the biological detection process shown in FIG. 5 will be omitted as appropriate.

In the biological detection process of FIG. 10, first, the image pickup control unit 170 turns on the light sources 111 (111A to 111C) of the illumination unit 11 and controls the image pickup unit 12. The image acquisition unit 171 acquires images (infrared images A to C) of each wavelength range of the person (step S21).

Here, the details of the image acquisition process are the same as the process described with reference to the flowchart of FIG. 6 in the first embodiment.

When the image pickup control unit 170 performs step S21, an infrared image A in which a subject irradiated with light in a wavelength range near 1180 nm is captured, and an infrared image B in which a subject irradiated with light in a wavelength range near 1280 nm is captured. An infrared image C in which a subject irradiated with light in a wavelength range near 1500 nm is captured can be obtained.

Subsequently, the face detection unit 172 detects the face region from the acquired infrared images A to C (step S22).

Here, the processing of the face detection unit 172 will be described with reference to specific examples. For example, consider a case where infrared images A to C as shown in FIG. 11A are given as processing targets of the face detection unit 172. In this case, the face detection unit 172 detects the region Z1 including the face, as shown in FIG. 11B.

Subsequently, the determination unit 173 performs a biological determination process for determining whether or not the surface of the person's face is skin by comparing the brightness of the face region between the infrared images A to C acquired in step S21. Execute (step S23).

Subsequently, the biological determination process will be described with reference to the flowchart of FIG. The description of the steps having substantially the same contents as the biological determination process shown in FIG. 7 will be simplified as appropriate.

When the biological determination process is started, the determination unit 173 first initializes the biological candidate counter and the face area counter (step S401). Next, as shown in FIG. 11B, the region Z1 including the face is divided into n × m grid regions (Z11 to Znm) (step S402). n and m are arbitrary values, for example, n = 256 and m = 256. Next, an unselected region is selected from the divided regions (Z11 to Znm) (step S403). Next, it is determined whether or not this selected area is a face area (step S404). This determination is performed by identifying the contour of the face by a known method and determining whether the selected area is inside or outside the contour of the face. If the selected area is inside the contour of the face, it is identified as the face area. If the selected area is outside the contour of the face, it is identified as not the face area.

Next, if the selected area is not the face area (step S404: No), the process returns to step S403. When the selected area is a face area (step S404: Yes), 1 is added to the face area counter (step S405).

Next, the brightness of the selected region is measured for each of the infrared images A to C (step S406), and it is determined whether or not the measured brightness satisfies the relationship indicated by the skin between the infrared images A to C (step S406). Step S407).

More specifically, in step S407, the determination unit 173 may determine whether or not the following relational expression (4) is satisfied. In the relational expression (4), IA indicates the brightness measured from the infrared image A, IB indicates the brightness measured from the infrared image B, and IC indicates the brightness measured from the infrared image C. Further, α, β, γ, and Y are coefficients, and the optimum numerical values for biological detection are set in advance from the imaging conditions and the like.
(4) Y ≦ α × IA + β × IB + γ × IC

When it is determined that the brightness satisfies the relationship indicated by the skin between the infrared images A to C (step S407; Yes), the determination unit 173 adds 1 to the biological candidate counter in the selected region (step S408). ).

On the other hand, when it is determined between the infrared images A to C that the brightness does not satisfy the relationship indicated by the skin (step S407; No), the process proceeds to step S409.

Next, the determination unit 173 determines whether or not all the regions divided in step S402 have been selected (step S409). If not all of the divided regions are selected (step S409; No), the process returns to step S403.

When all of the regions divided in step S402 are selected (step S409; Yes), the determination unit 173 determines whether the value PA obtained by dividing the value of the biological candidate counter by the value of the face region counter is equal to or greater than the threshold value (step). S410). The threshold value is not particularly limited as long as it is a value of 1 or less, but is, for example, 0.8.

When the value PA is equal to or greater than the threshold value (step S410; Yes), the detection unit 174 determines that the surface of the person's face is skin (step S411). On the other hand, when the value PA is less than the threshold value (step S410; No), the determination unit determines that the surface of the person's face is not skin (step S412). This completes the biological determination process.

As described above, the biological determination process of the fourth embodiment divides the face region into grid regions, and determines whether or not each of the divided regions shows a relationship that the skin satisfies. Then, it is determined whether or not the surface of the face is skin based on whether or not the ratio of the region determined to be a living body is equal to or greater than the threshold value in the entire face region. Therefore, when the brightness in any one of the regions (cheek region, right cheek region, left cheek region) does not satisfy the relationship with the living body, the living body of the first embodiment immediately determines that the surface of the face is not skin. It is possible to detect whether the surface of the face is skin more accurately than the judgment process.

(Modification example)
The present invention is not limited to the above embodiments, and various modifications can be made without departing from the gist of the present invention.

Further, in the biological detection devices 1 to 4 shown in FIG. 2, the description has been made on the premise that the lighting unit 11, the imaging unit 12, and the like are all integrated, but it goes without saying that they may be separated as appropriate. For example, the lighting unit 11, the imaging unit 12, the speaker 13, and the like may be separated from each other and combined with a device having the function of the control unit 17 (for example, a PC or the like) to configure the biological detection devices 1 to 4. .. Alternatively, the function of the control unit 17 may be built into the image pickup unit 12, and the control unit of the image pickup unit 12 may appropriately cooperate with the illumination unit 11, the speaker 13, and the like to form the biometric detection device 1.

Further, in each of the above embodiments, the illumination unit 11 and the image pickup unit 12 are synchronized to image the infrared images A to C. However, without synchronizing the illumination unit 11 and the imaging unit 12, the illumination unit 11 irradiates the subject with infrared rays in an arbitrary wavelength range, and the infrared image captured by the imaging unit 12 is irradiated with infrared rays in any wavelength range. It may be selected whether it is an infrared image of the subject. Specifically, an indicator having a different reflectance for each wavelength range is placed in a place (for example, a wall behind the subject) in the peripheral portion of the infrared image to capture an infrared image. The subject and the indicator are irradiated with infrared rays in an arbitrary wavelength range from the illumination unit 11, and the image pickup unit 12 captures an infrared image of the subject. The control unit 17 selects which wavelength range the infrared image is irradiated with from the brightness of the indicator reflected in the peripheral portion of the captured infrared image.

Further, in each of the above embodiments, an image showing a subject irradiated with light in a wavelength range near 1180 nm (infrared image A), an image showing a subject irradiated with light in a wavelength range near 1280 nm (infrared image B), and When the brightness of the image (infrared image C) showing the subject irradiated with the light in the wavelength range near 1500 nm satisfies the relationship indicated by the skin, it was determined that the surface of the face is the skin. However, images in other wavelength ranges may be used to determine if the surface of the face is skin.

Further, in each of the above embodiments, it is determined whether the surface of the face is skin by using the brightness of the images in each of the three wavelength ranges (infrared images A to C), but the surface of the face is determined from the images in the two wavelength ranges. It may be determined whether or not is skin, and it may be determined whether or not the surface of the face is skin from images in the wavelength range of 4 or more.

Further, in each of the above embodiments, the face detection unit 172 detects the forehead region, the right cheek region, and the left cheek region from the face region, and the determination unit 173 compares the brightness of each region between the images, and the surface of the face is skin. It was judged whether it was. However, the face detection unit 172 does not have to detect all of the forehead region, the right cheek region, and the left cheek region, and may detect at least one region. For example, the face detection unit 172 may detect only the forehead region, and the determination unit 173 may compare only the brightness of the forehead region to determine whether the surface of the face is skin. Further, the face detection unit 172 may detect a feature region other than the forehead region, the right cheek region, and the left cheek region, and use the brightness of the region to determine whether the surface of the face is skin. Further, the face detection unit 172 may detect only the face region, and the determination unit 173 may compare the brightness of the entire face region or a part thereof to determine whether the surface of the face is skin.

Further, when the position of the imaging unit 12 and the imaging point of the person are fixed so that the face of the person is always imaged in a specific range in the image, the determination unit 173 compares the brightness of the specific range of the face. It may be determined whether the surface is skin. In this case, the biological detection devices 1 to 4 do not have to include the face detection unit 172.

Further, in each of the above embodiments, the case of detecting whether or not the surface of the face is skin has been described, but the detection of whether or not the face is skin and the detection of whether or not it is a pseudo-living body such as silicone resin are also performed. May be good. In this case, for example, when a relational expression for detecting a pseudo-living body is obtained in advance and it is determined in the living body determination processing whether the brightness of the selected pixels of the infrared images A to C satisfies the relationship indicated by the skin. At the same time, it is possible to detect whether the pixel is skin or a pseudo-living body by determining whether or not the pixel is a pseudo-living body by the relational expression obtained above. Therefore, it is possible to more accurately determine whether the surface of the face is skin or is covered with a disguise mask of a pseudo-living body.

Further, in the biological detection devices 1 to 4 in each of the above embodiments, infrared LEDs having a wavelength range of 1180 nm, 1280 nm, and 1500 nm were used as the light source, and these infrared LEDs are easily available at 1200 nm, 1300 nm, and 1450. It may be changed to an infrared LED having a wavelength range of (1550) nm. Further, it is not particularly limited as long as it can irradiate light in a desired wavelength range, and a light source other than the LED may be used. For example, in order to obtain an image in the wavelength range of 1180 ± 50 nm by combining a halogen light source and a plurality of cut filters (for example, a cut filter that cuts light of 1130 nm or less and a cut filter that cuts light of 1230 nm or more). And) may be combined to obtain illumination in each wavelength range.

Further, in each of the above embodiments, the case where the biometric detection devices 1 to 4 are installed at the immigration checkpoint has been described as an example, but the place where the biometric detection devices 1 to 4 are installed is not limited to this. In short, when it is necessary to detect whether or not the surface of the face is skin, the biological detection devices 1 to 4 can be installed to detect whether or not the surface of the face is skin. For example, the biological detection devices 1 to 4 may be installed and used not only in the vicinity of the departure gate of the departure examination hall but also in the entrance gate of a company or a large-scale leisure facility.

Further, in each of the above embodiments, the biological detection devices 1 to 4 detect whether the surface of the face is skin, particularly with respect to the disguise mask made of silicon resin, but the present invention uses a disguise mask made of another material. It can also be used to detect whether the surface of the face is skin when the skin is covered.
For example, a resin mask has high brightness in the wavelength range of 1480 to 1580 nm, whereas human skin has low brightness in this wavelength range. Further, the synthetic rubber mask has extremely low brightness in the wavelength range of 1480 to 1580 nm as compared with human skin. Therefore, by observing the difference between the skin and other materials, it is possible to detect with higher accuracy whether the surface of the face is the skin with respect to the mask made of resin or synthetic rubber.

Further, for example, by applying an operation program that defines the operation of the biometric detection devices 1 to 4 according to each of the above embodiments to an existing personal computer, information terminal device, or the like, the personal computer or the like can be applied to the biometric detection according to the present invention. It is also possible to function as devices 1 to 4.

The distribution method of such a program is arbitrary, and can be read by a computer such as a CD-ROM (Compact Disk Read-Only Memory), a DVD (Digital Versatile Disk), an MO (Magneto Optical Disk), or a memory card. It may be stored in a recording medium and distributed, or may be distributed via a communication network such as the Internet.

The present invention allows for various embodiments and modifications without departing from the broad spirit and scope of the present invention. Moreover, the above-described embodiment is for explaining the present invention, and does not limit the scope of the present invention. That is, the scope of the present invention is indicated not by the embodiment but by the claims. Then, various modifications made within the scope of the claims and the equivalent meaning of the invention are considered to be within the scope of the present invention.

Some or all of the above embodiments may also be described, but not limited to:

(Appendix 1)
A first image showing a subject irradiated with light in the first wavelength range, and a second image showing the subject irradiated with light in a second wavelength range different from the first wavelength range. Image acquisition unit to acquire
A determination unit for determining whether or not the relationship between the brightness of the subject in the first image and the brightness of the subject in the second image is the relationship shown by the living body.
When the determination unit determines that the relationship is indicated by the living body, the detection unit that detects that the subject is a living body and the detection unit.
A biological detection device equipped with.

(Appendix 2)
An illumination unit that irradiates the subject with light in the first wavelength region and light in the second wavelength region.
An imaging unit that captures the first image and the second image,
The irradiation of the light in the first wavelength region of the lighting unit and the imaging of the first image of the imaging unit are synchronized, and the irradiation of the light of the second wavelength region of the lighting unit and the imaging unit An imaging control unit that synchronizes with the imaging of the second image,
The biological detection device according to Appendix 1.

(Appendix 3)
The illumination unit includes an infrared LED light source that emits light in the first wavelength region and an infrared LED light source that emits light in the second wavelength region.
The imaging unit includes one infrared camera that captures the first image and the second image.
The biological detection device according to Appendix 2.

(Appendix 4)
The light in the first wavelength range is light in a wavelength range in which the brightness in the image of the living body irradiated with the light is comparable to the brightness in the image of the pseudo-living body irradiated with the light.
The light in the second wavelength region is light in a wavelength region in which the brightness in the image of the living body irradiated with the light differs from the brightness in the image of the pseudo-living body irradiated with the light by 20% or more.
The biological detection device according to any one of Supplementary note 1 to 3.

(Appendix 5)
The image acquisition unit further acquires a third image in which a subject irradiated with light in the first wavelength region and a third wavelength region different from the second wavelength region is captured.
In the determination unit, whether or not the relationship between the brightness of the subject in the first image, the brightness of the subject in the second image, and the brightness of the subject in the third image is the relationship shown by the living body. judge,
The biological detection device according to any one of Supplementary note 1 to 4.

(Appendix 6)
The first wavelength region is in the vicinity of 1180 nm, the second wavelength region is in the vicinity of 1280 nm, and the third wavelength region is in the vicinity of 1500 nm.
The determination unit indicates that the living body indicates a relationship in which the brightness of the subject captured in the second image is a predetermined ratio larger than the brightness of the subject captured in the first image and the brightness of the subject captured in the third image. Judge as a relationship,
The biological detection device according to Appendix 5.

(Appendix 7)
A face detection unit that detects a person's face area from each image acquired by the image acquisition unit is provided.
The determination unit has a relationship in which the brightness of the face region captured in the second image is a predetermined percentage larger than the brightness of the face region captured in the first image and the brightness of the face region captured in the third image. In the case, it is determined that the relationship is shown by the living body.
The biological detection device according to Appendix 6.

(Appendix 8)
The face detection unit detects a feature region from the face region and
The determination unit has a relationship in which the brightness of the feature region captured in the second image is a predetermined percentage larger than the brightness of the feature region captured in the first image and the brightness of the feature region captured in the third image. In the case, it is determined that the relationship is shown by the living body.
The biological detection device according to Appendix 7.

(Appendix 9)
When the detection unit detects that the subject is not a living body, the detection unit further includes a notification unit that notifies that the subject is not a living body.
The biological detection device according to any one of Appendix 1 to 8.

(Appendix 10)
The living body is skin,
The biological detection device according to any one of Supplementary Notes 1 to 9.

(Appendix 11)
The pseudo-living body is made of a silicone resin.
The biological detection device according to Appendix 4.

(Appendix 12)
A first image showing a subject irradiated with light in the first wavelength range, and a second image showing the subject irradiated with light in a second wavelength range different from the first wavelength range. To get the image acquisition step and
A determination step for determining whether or not the relationship between the brightness of the subject in the first image and the brightness of the subject in the second image is the relationship shown by the living body.
In the determination step, when it is determined that the relationship is shown by the living body, the detection step of detecting that the subject is a living body and the detection step.
A biological detection method comprising.

(Appendix 13)
Computer,
A first image showing a subject irradiated with light in the first wavelength range, and a second image showing the subject irradiated with light in a second wavelength range different from the first wavelength range. Image acquisition unit,
A determination unit for determining whether or not the relationship between the brightness of the subject shown in the first image and the brightness of the subject shown in the second image is the relationship shown by the living body.
When the determination unit determines that the relationship is indicated by the living body, the detection unit that detects that the subject is a living body,
A recording medium that stores a program for functioning as.

1, 2, 3, 4 Biometric detection device 11 Lighting unit 111 (111A to 111C) Light source 112 (112A to 112C) Relay 12 Imaging unit 121 Lens 122 Shutter 123 CMOS image sensor 13 Speaker 14 Display 15 Operation unit 16 External storage device 17 Control unit 170 Imaging control unit 171 Image acquisition unit 172 Face detection unit 173 Judgment unit 174 Detection unit 175 Notification unit

Claims (20)

A face detection means for detecting the face area of the person from an image of the person, and
A determination means for determining whether or not a person is a pseudo-living body by comparing the face regions of the person in the images captured by using light in the wavelength range in the infrared band.
Information processing device equipped with. The information processing apparatus according to claim 1, wherein the light is light in a wavelength range of 1000 nm or more and 1700 nm or less. A lighting unit that irradiates the person with infrared light,
The information processing device according to claim 1 or 2, wherein the determination means determines whether the surface of the person's face is a false organism based on the brightness between the face regions of the person. The face detecting means detects at least one of a forehead region and a cheek region from the face region, and
The information processing apparatus according to any one of claims 1 to 3, wherein the determination means compares at least one of the forehead regions and the cheek regions. Further equipped with an image acquisition means for capturing a person using light in the wavelength range in the infrared band,
The information processing device according to any one of claims 1 to 4, wherein the face detecting means detects a face region of the person from an image of the person captured by using light in a wavelength range in the infrared band. Further provided with an image acquisition means for acquiring an image of a person captured in at least three different wavelength ranges in the infrared band.
The determination means is characterized in that it determines whether or not the face region of the person is a false body by comparing the face regions of three images among the images acquired by the image acquisition means. The information processing apparatus according to any one of 4 to 4. The image acquisition means includes a plurality of imaging means for capturing images of a plurality of people in different wavelength ranges from each other.
The information processing according to claim 5 or 6, further comprising an image correction means for acquiring a corrected image of each image captured by the plurality of imaging means as if the person was imaged from the same point. apparatus. The determination means is characterized in that when the brightness distribution of each face region of a plurality of images captured in different wavelength regions shows a waveform of a specific pattern, it is determined that the face region of the person is not a pseudo-living body. The information processing apparatus according to any one of claims 1 to 7. The information processing apparatus according to any one of claims 5 to 7, further comprising a magic mirror installed between the person and the image acquisition means. A lighting unit that irradiates a person with infrared light,
An image acquisition means for photographing the person using infrared light reflected on the face area of the person, and
A determination means for determining whether or not a person is a pseudo-living body by comparing images in the face region of the person in two different wavelength ranges of infrared rays.
An information processing device including a magic mirror installed between the person and the image acquisition means. The information processing apparatus according to claim 10, further comprising a face detecting means for detecting a face region of the person from the image of the person acquired by the image acquiring means. The information processing apparatus according to claim 11, further comprising a notification means for notifying when the face region of the person is determined to be a false body based on the detected image of the infrared band in the face region of the person. The information processing device according to claim 12, wherein the notification means displays a warning message when it is determined that the face region of the person is a false organism. The information processing device according to claim 12, wherein the notification means outputs a warning sound when it is determined that the face region of the person is a false living body. The information processing device according to any one of claims 12 to 14, wherein the notification means notifies that the face region of a person is a false living body. A lighting unit that irradiates a person with infrared light,
An image acquisition means for photographing the person using infrared light reflected on the face area of the person, and
An information processing device including a notification means for notifying when it is determined that the face area of the person is a false body by comparing the detected images in the infrared band in the face area of the person. The information processing apparatus according to claim 16, further comprising a face detecting means for detecting a face region of the person from the image of the person acquired by the image acquiring means. The information processing device according to claim 16 or 17, wherein the notification means displays a warning message when it is determined that the face region of the person is a false organism. The information processing device according to claim 16 or 17, wherein the notification means outputs a warning sound when it is determined that the face region of the person is a false organism. The information processing device according to any one of claims 17 to 19, wherein the notification means notifies that the face region of a person is a pseudo-living body.

Images