Abstract: A living body detection device (1) includes: an image acquisition unit (171), a determination unit (173) and a detection unit (174). The image acquisition unit (171) acquires a first image in which a subject irradiated by light in a first wavelength range is imaged, and a second image in which the subject irradiated by light in a second wavelength range is imaged, the second wavelength range being different from the first wavelength range. The determination unit (173) determines whether a relation expressed by luminance of the subject imaged in the first image and luminance of the subject imaged in the second image is a relation exhibited by a living body. The detection unit (174) detects that the subject is a living body in a case where the determination unit (173) has determined that it is the relation exhibited by the living body.

Abstract: The present invention provides a technology that acquires a high resolution iris image more quickly than before. An iris capture apparatus according to one example embodiment of the present invention includes a rotatable movable mirror; a control unit that controls rotation of the movable mirror; a capture unit that captures different regions of a face of a user via the movable mirror and outputs a group of images every time the control unit rotates the movable mirror by a predetermined angle; and an iris image acquisition unit that acquires an image of an iris of the user from the group of images.

Abstract: A living body detection device (1) includes: an image acquisition unit (171), a determination unit (173) and a detection unit (174). The image acquisition unit (171) acquires a first image in which a subject irradiated by light in a first wavelength range is imaged, and a second image in which the subject irradiated by light in a second wavelength range is imaged, the second wavelength range being different from the first wavelength range. The determination unit (173) determines whether a relation expressed by luminance of the subject imaged in the first image and luminance of the subject imaged in the second image is a relation exhibited by a living body. The detection unit (174) detects that the subject is a living body in a case where the determination unit (173) has determined that it is the relation exhibited by the living body.

Abstract: A living body detection device includes: an image acquisition unit, a determination unit and a detection unit. The image acquisition unit acquires a first image in which a subject irradiated by light in a first wavelength range is imaged, and a second image m which the subject irradiated by light in a second wavelength range is imaged, the second wavelength range being different from the first wavelength range. The determination unit determines whether a relation expressed by luminance of the subject imaged in the first image and luminance of the subject imaged in the second image is a relation exhibited by a living body. The detection unit detects that the subject is a living body in a case where the determination unit has determined that it is the relation exhibited by the living body.

Abstract: A living body detection device (1) includes: an image acquisition unit (171), a determination unit (173) and a detection unit (174). The image acquisition unit (171) acquires a first image in which a subject irradiated by light in a first wavelength range is imaged, and a second image in which the subject irradiated by light in a second wavelength range is imaged, the second wavelength range being different from the first wavelength range. The determination unit (173) determines whether a relation expressed by luminance of the subject imaged in the first image and luminance of the subject imaged in the second image is a relation exhibited by a living body. The detection unit (174) detects that the subject is a living body in a case where the determination unit (173) has determined that it is the relation exhibited by the living body.

Abstract: A living body detection device (1) includes: an image acquisition unit (171), a determination unit (173) and a detection unit (174). The image acquisition unit (171) acquires a first image in which a subject irradiated by light in a first wavelength range is imaged, and a second image in which the subject irradiated by light in a second wavelength range is imaged, the second wavelength range being different from the first wavelength range. The determination unit (173) determines whether a relation expressed by luminance of the subject imaged in the first image and luminance of the subject imaged in the second image is a relation exhibited by a living body. The detection unit (174) detects that the subject is a living body in a case where the determination unit (173) has determined that it is the relation exhibited by the living body.

Abstract: The present invention provides a technology that acquires a high resolution iris image more quickly than before. An iris capture apparatus according to one example embodiment of the present invention includes a rotatable movable mirror; a control unit that controls rotation of the movable mirror; a capture unit that captures different regions of a face of a user via the movable mirror and outputs a group of images every time the control unit rotates the movable mirror by a predetermined angle; and an iris image acquisition unit that acquires an image of an iris of the user from the group of images.

Abstract: The present invention provides a technology that acquires a high resolution iris image more quickly than before. An iris capture apparatus according to one example embodiment of the present invention includes a rotatable movable mirror; a control unit that controls rotation of the movable mirror; a capture unit that captures different regions of a face of a user via the movable mirror and outputs a group of images every time the control unit rotates the movable mirror by a predetermined angle; and an iris image acquisition unit that acquires an image of an iris of the user from the group of images.

Abstract: A living body detection device (1) includes: an image acquisition unit (171), a determination unit (173) and a detection unit (174). The image acquisition unit (171) acquires a first image in which a subject irradiated by light in a first wavelength range is imaged, and a second image in which the subject irradiated by light in a second wavelength range is imaged, the second wavelength range being different from the first wavelength range. The determination unit (173) determines whether a relation expressed by luminance of the subject imaged in the first image and luminance of the subject imaged in the second image is a relation exhibited by a living body. The detection unit (174) detects that the subject is a living body in a case where the determination unit (173) has determined that it is the relation exhibited by the living body.

Abstract: A living body detection device (1) includes: an image acquisition unit (171), a determination unit (173) and a detection unit (174). The image acquisition unit (171) acquires a first image in which a subject irradiated by light in a first wavelength range is imaged, and a second image in which the subject irradiated by light in a second wavelength range is imaged, the second wavelength range being different from the first wavelength range. The determination unit (173) determines whether a relation expressed by luminance of the subject imaged in the first image and luminance of the subject imaged in the second image is a relation exhibited by a living body. The detection unit (174) detects that the subject is a living body in a case where the determination unit (173) has determined that it is the relation exhibited by the living body.

Abstract: A living body detection device (1) includes: an image acquisition unit (171), a determination unit (173) and a detection unit (174). The image acquisition unit (171) acquires a first image in which a subject irradiated by light in a first wavelength range is imaged, and a second image in which the subject irradiated by light in a second wavelength range is imaged, the second wavelength range being different from the first wavelength range. The determination unit (173) determines whether a relation expressed by luminance of the subject imaged in the first image and luminance of the subject imaged in the second image is a relation exhibited by a living body. The detection unit (174) detects that the subject is a living body in a case where the determination unit (173) has determined that it is the relation exhibited by the living body.

Abstract: A living body detection device includes: an image acquisition unit, a determination unit and a detection unit. The image acquisition unit acquires a first image in which a subject irradiated by light in a first wavelength range is imaged, and a second image m which the subject irradiated by light in a second wavelength range is imaged, the second wavelength range being different from the first wavelength range. The determination unit determines whether a relation expressed by luminance of the subject imaged in the first image and luminance of the subject imaged in the second image is a relation exhibited by a living body. The detection unit detects that the subject is a living body in a case where the determination unit has determined that it is the relation exhibited by the living body.

Abstract: A light source (11) of a disguising mask detecting device (1) emits light at a person who is a subject. A camera (12) acquires images in multiple different wavelength ranges of reflected light of the light emitted at the person. A face detector (172) detects a face region of the person from the images acquired by the camera (12). A determiner (173) determines that the person is wearing a disguising mask when luminances of the face region in the images satisfy specific relations different from relations exhibited by skin.

Abstract: Interlace noises of the image of an iris included in the image of an eye picked up through an interlaced scheme are corrected precisely within a short time. An image processing apparatus (30) corrects a digital image P based on only low-brightness pixels configuring the image of a pupil included in the digital image P of an eye. Accordingly, interlace noises included in the image of the pupil of the eye and that of the iris can be corrected precisely within a short time. Next, a checking apparatus (50) performs authentication on a subject person based on the image of the iris specified based on the corrected digital image P. Hence, precise authentication is enabled.

Abstract: An image of the iris contained in an image of an eye is accurately specified. An image of the iris contained in a digital image (P) of an eye is accurately specified. In view of low-intensity pixels of the digital image (P) of the eye, and high-intensity pixels having a predetermined relationship with the low-intensity pixels, a reference pixel (PX0) that defines the center of the pupil is determined. Thereby, the center of the pupil can be specified more accurately when compared to the case where, for example, it is determined only from the low-intensity pixels. Therefore, the accuracy of the process to specify the iris image on the basis of the reference pixel is improved, and as a result, the iris image can be accurately specified.

Abstract: A plurality of pieces of information related to the iris pattern of an eye can be checked against each other in a short time. Characteristic curves (S(1)-S(8)), which are in accordance with eight ring areas (A1-A8) formed by dividing an image of an iris, are generated. The polarities of the gradients of these characteristic curves are then arranged, thereby generating codes (1-8) to be checked. Each of these codes (1-8) to be checked consists of a ternary combination of +, ? and zero, whereby the amount of data to be handled during the checking process can be reduced. As a result, checking the codes to be checked can be performed in a short time.

Abstract: A plurality of pieces of information related to the iris pattern of an eye can be checked against each other in a short time. Characteristic curves (S(1)-S(8)), which are in accordance with eight ring areas (A1-A8) formed by dividing an image of an iris, are generated. The polarities of the gradients of these characteristic curves are then arranged, thereby generating codes (1-8) to be checked. Each of these codes (1-8) to be checked consists of a ternary combination of +, ? and zero, whereby the amount of data to be handled during the checking process can be reduced. As a result, checking the codes to be checked can be performed in a short time.

Abstract: A plurality of pieces of information related to the iris pattern of an eye can be checked against each other in a short time. Characteristic curves (S(1)-S(8)), which are in accordance with eight ring areas (A1-A8) formed by dividing an image of an iris, are generated. The polarities of the gradients of these characteristic curves are then arranged, thereby generating codes (1-8) to be checked. Each of these codes (1-8) to be checked consists of a ternary combination of +, ? and zero, whereby the amount of data to be handled during the checking process can be reduced. As a result, checking the codes to be checked can be performed in a short time.

Abstract: A region of an iris image where eyelash and other part images are mixed is identified with accuracy. The noise region of an iris image contained in a digital eye image (P1) where, for example, eyelash and eyelid parts are mixed is identified with accuracy based on characteristic curves obtained by scanning the iris image with arcs (AR1) and (AR2). Then, authentication is performed using data created based on the iris image from which the noise region is excluded. In this way, the subject can be authenticated with accuracy without being affected by noise.

Abstract: A region of an iris image where eyelash and other part images are mixed is identified with accuracy. The noise region of an iris image contained in a digital eye image (P1) where, for example, eyelash and eyelid parts are mixed is identified with accuracy based on characteristic curves obtained by scanning the iris image with arcs (AR1) and (AR2). Then, authentication is performed using data created based on the iris image from which the noise region is excluded. In this way, the subject can be authenticated with accuracy without being affected by noise.