Abstract: An image correction method includes: acquiring band images obtained by imaging a subject, and a high-resolution image having a resolution higher than that of the band images; acquiring a position difference between the object band image and the reference band image among the band images; by using a pixel of the object band image as an object pixel, for each object pixel, determining a pixel value of each sub-region obtained by dividing the imaging region of the object pixel into a plurality of regions, based on the pixel value of the object pixel and a relationship between pixel values of the pixels of the high-resolution image corresponding to the object pixel; and creating a corrected band image that holds a pixel value of light on the object band image at the pixel position of the reference band image, from the determined pixel value of each sub-region and the position difference.

Abstract: The present invention improves an accuracy to discern a fake finger created by attaching a transparent thin film to the surface of a finger. The present invention has: a mounting surface that has a mounting area to mount an authentication target that is an object of fingerprint authentication; a transparent plate that is provided on mounting surface and defines a range of an image used for determining the authenticity of the authentication target; a light source that allows light to directly enter the authentication target mounted on the mounting area, not by way of the transparent plate; and an imaging device that images the authentication target mounted on the mounting area, by way of a the transparent plate, wherein a light emitting surface for emitting light of the light source to outside is disposed on the same plane as the mounting surface.

Abstract: A fake finger in which a transparent thin film is attached to a finger surface is discriminated. A fake-finger determination device includes: an imaging unit 10 that captures an authentication object as a fingerprint authentication object; a classifying unit 31 that classifies an image captured by the imaging unit 10 into a plurality of regions including at least a skin region and a background region using colors of pixels included in the image; and a determining unit 32 that determines whether or not a foreign substance is present in the periphery of a finger based on a feature of a region classified as neither the skin region nor the background region out of the regions classified by the classifying unit 31.

Abstract: The present invention improves an accuracy to discern a fake finger created by attaching a transparent thin film to the surface of a finger. The present invention has: a mounting surface that has a mounting area to mount an authentication target that is an object of fingerprint authentication; a transparent plate that is provided on mounting surface and defines a range of an image used for determining the authenticity of the authentication target; a light source that allows light to directly enter the authentication target mounted on the mounting area, not by way of the transparent plate; and an imaging device that images the authentication target mounted on the mounting area, by way of a the transparent plate, wherein a light emitting surface for emitting light of the light source to outside is disposed on the same plane as the mounting surface.

Abstract: A fake finger in which a transparent thin film is attached to a finger surface is discriminated. A fake-finger determination device includes: an imaging unit 10 that captures an authentication object as a fingerprint authentication object; a classifying unit 31 that classifies an image captured by the imaging unit 10 into a plurality of regions including at least a skin region and a background region using colors of pixels included in the image; and a determining unit 32 that determines whether or not a foreign substance is present in the periphery of a finger based on a feature of a region classified as neither the skin region nor the background region out of the regions classified by the classifying unit 31.

Abstract: A fake finger in which a transparent thin film is attached to a finger surface is discriminated. A fake-finger determination device includes: an imaging unit 10 that captures an authentication object as a fingerprint authentication object; a classifying unit 31 that classifies an image captured by the imaging unit 10 into a plurality of regions including at least a skin region and a background region using colors of pixels included in the image; and a determining unit 32 that determines whether or not a foreign substance is present in the periphery of a finger based on a feature of a region classified as neither the skin region nor the background region out of the regions classified by the classifying unit 31.

Abstract: A fake finger in which a transparent thin film is attached to a finger surface is discriminated. A fake-finger determination device includes: an imaging unit 10 that captures an authentication object as a fingerprint authentication object; a classifying unit 31 that classifies an image captured by the imaging unit 10 into a plurality of regions including at least a skin region and a background region using colors of pixels included in the image; and a determining unit 32 that determines whether or not a foreign substance is present in the periphery of a finger based on a feature of a region classified as neither the skin region nor the background region out of the regions classified by the classifying unit 31.

Abstract: An image correction method includes: acquiring band images obtained by imaging a subject, and a high-resolution image having a resolution higher than that of the band images; acquiring a position difference between the object band image and the reference band image among the band images; by using a pixel of the object band image as an object pixel, for each object pixel, determining a pixel value of each sub-region obtained by dividing the imaging region of the object pixel into a plurality of regions, based on the pixel value of the object pixel and a relationship between pixel values of the pixels of the high-resolution image corresponding to the object pixel; and creating a corrected band image that holds a pixel value of light on the object band image at the pixel position of the reference band image, from the determined pixel value of each sub-region and the position difference.

Abstract: An image correction device is configured to acquire band images obtained by imaging a subject; by using at least one of the band images as a reference band image and at least one of the rest of the band images as an object band image, acquire a position difference between the object band image and the reference band image; by using a pixel of the object band image as an object pixel and each of pixels of the reference band image that overlap the object pixel when the object pixel is shifted by the position difference as a corresponding pixel, create a corrected band image that holds a pixel value of light on the object band image at the pixel position of the reference band image, on the basis of a relationship between pixel values of the corresponding pixels; and output the corrected band image.

Abstract: The present invention improves an accuracy to discern a fake finger created by attaching a transparent thin film to the surface of a finger. The present invention has: a mounting surface that has a mounting area to mount an authentication target that is an object of fingerprint authentication; a transparent plate that is provided on mounting surface and defines a range of an image used for determining the authenticity of the authentication target; a light source that allows light to directly enter the authentication target mounted on the mounting area, not by way of the transparent plate; and an imaging device that images the authentication target mounted on the mounting area, by way of a the transparent plate, wherein a light emitting surface for emitting light of the light source to outside is disposed on the same plane as the mounting surface.

Abstract: The present invention improves an accuracy to discern a fake finger created by attaching a transparent thin film to the surface of a finger. The present invention has: a mounting surface that has a mounting area to mount an authentication target that is an object of fingerprint authentication; a transparent plate that is provided on mounting surface and defines a range of an image used for determining the authenticity of the authentication target; a light source that allows light to directly enter the authentication target mounted on the mounting area, not by way of the transparent plate; and an imaging device that images the authentication target mounted on the mounting area, by way of a the transparent plate, wherein a light emitting surface for emitting light of the light source to outside is disposed on the same plane as the mounting surface.

Abstract: A fake finger in which a transparent thin film is attached to a finger surface is discriminated. A fake-finger determination device includes: an imaging unit 10 that captures an authentication object as a fingerprint authentication object; a classifying unit 31 that classifies an image captured by the imaging unit 10 into a plurality of regions including at least a skin region and a background region using colors of pixels included in the image; and a determining unit 32 that determines whether or not a foreign substance is present in the periphery of a finger based on a feature of a region classified as neither the skin region nor the background region out of the regions classified by the classifying unit 31.

Abstract: A fake finger in which a transparent thin film is attached to a finger surface is discriminated. A fake-finger determination device includes: an imaging unit 10 that captures an authentication object as a fingerprint authentication object; a classifying unit 31 that classifies an image captured by the imaging unit 10 into a plurality of regions including at least a skin region and a background region using colors of pixels included in the image; and a determining unit 32 that determines whether or not a foreign substance is present in the periphery of a finger based on a feature of a region classified as neither the skin region nor the background region out of the regions classified by the classifying unit 31.

Abstract: [PROBLEMS] To appropriately authenticate a user, a biometric device, and an authentication timing of a client side and prevent leak or tampering of the biometric information. [MEANS FOR SOLVING PROBLEMS] A server device includes: a unit for encrypting information for requesting biometric authentication and identifying the request by using a public key of the biometric authentication device and transmitting the information; and a unit for authenticating the user according to the authentication information containing the result of the biometric authentication.

Abstract: In order to reduce the possibility of damaging a signal component of the original image during the noise reduction of an image created by pan-sharpen processing or the like based on a plurality of images of the same image object, which are taken simultaneously with different resolutions, a noise reduction apparatus according to the present invention includes a multiresolution decomposition means that performs multiresolution decomposition on a first image inputted to obtain components having a prescribed first resolution, the first image having a prescribed resolution, the prescribed first resolution being lower than the prescribed resolution of a second image inputted, the second image being captured simultaneously with the first image, the first image and the second image being images of a same object, a low resolution component compensation means that compensates at least one decomposition component created by the decomposition with use of the second image, and an image reconfiguration means that replaces

Abstract: This image correction system corrects image data from pixels, is connected to at least two different input pathways, and is provided with: a pixel value relationship extraction means that extracts the pixel value relationship among neighboring pixels from image data that is the subject of correction; a pixel value relational expression estimation means that estimates a relational expression representing the difference in characteristics in each pixel from the pixel value relationship between neighboring pixels; and a pixel value correction means that forms a corrected image by correcting the pixel values of the image data that is the subject of correction using the relational expression.

Abstract: In order to reduce the possibility of damaging a signal component of the original image during the noise reduction of an image created by pan-sharpen processing or the like based on a plurality of images of the same image object, which are taken simultaneously with different resolutions, a noise reduction apparatus according to the present invention includes a multiresolution decomposition means that performs multiresolution decomposition on a first image inputted to obtain components having a prescribed first resolution, the first image having a prescribed resolution, the prescribed first resolution being lower than the prescribed resolution of a second image inputted, the second image being captured simultaneously with the first image, the first image and the second image being images of a same object, a low resolution component compensation means that compensates at least one decomposition component created by the decomposition with use of the second image, and an image reconfiguration means that replaces

Abstract: A representative feature extraction system which selects a representative feature from an input data group includes: occurrence distribution memory means for memorizing an occurrence distribution with respect to feature quantities assumed to be input; evaluation value calculation means for calculating, with respect to each of data items in the data group, the sum of distances to the other data items included in the data group based on the occurrence distribution, to determine an evaluation value for the data item; and data selecting means for selecting the data item having the smallest evaluation value as a representative feature of the data group.

Abstract: Provided is a characteristic point associating system including: a set creating unit to receive a plurality of characteristic point groups to be compared, and to create a plurality of characteristic point pair sets by grouping together characteristic point pairs that are close to one another in terms of local conversion parameter into sets; a set selecting unit to select a characteristic point pair set that contains many elements out of the plurality of characteristic point pair sets; and a corresponding characteristic point determining unit to determine out of characteristic point pairs contained in the selected characteristic point pair set, a pair of characteristic points to be associated with each other as correct corresponding characteristic points so as to be output. Thus, the characteristic point associating system associates correct pairing combinations of characteristic points that exist between the compared groups of characteristic points.

Abstract: This image correction system corrects image data from pixels, is connected to at least two different input pathways, and is provided with: a pixel value relationship extraction means that extracts the pixel value relationship among neighboring pixels from image data that is the subject of correction; a pixel value relational expression estimation means that estimates a relational expression representing the difference in characteristics in each pixel from the pixel value relationship between neighboring pixels; and a pixel value correction means that forms a corrected image by correcting the pixel values of the image data that is the subject of correction using the relational expression.