Abstract: An image processing device comprises an input unit, a characteristic amount calculation unit, a characteristic amount vector calculation unit, and a characteristic identification unit. The input unit receives an image. The characteristic amount calculation unit calculates an image characteristic amount characterizing a texture of a local area of the image received by the input unit. The characteristic amount vector calculation unit calculates a first characteristic amount vector corresponding to the local area from the image characteristic amount. The characteristic identification unit identifies a characteristic of the local area on the basis of the first characteristic amount vector and a second characteristic amount vector calculated by the same method as the first characteristic amount vector and calculated from an image whose characteristic has been determined in advance.

Abstract: An image processing device comprises an input unit, a characteristic amount calculation unit, a characteristic amount vector calculation unit, and a characteristic identification unit. The input unit receives an image. The characteristic amount calculation unit calculates an image characteristic amount characterizing a texture of a local area of the image received by the input unit. The characteristic amount vector calculation unit calculates a first characteristic amount vector corresponding to the local area from the image characteristic amount. The characteristic identification unit identifies a characteristic of the local area on the basis of the first characteristic amount vector and a second characteristic amount vector calculated by the same method as the first characteristic amount vector and calculated from an image whose characteristic has been determined in advance.

Abstract: A fingerprint ridge image synthesis system, configured to accurately extract the shape of the ridges contained in a fingerprint image and clearly reproduce the fingerprint of the fingerprint image on an image, includes: a ridge pixel parameter calculation unit that calculates parameter values including wavelet phase, ridge angle, and inter-ridge distance corresponding to each pixel by means of applying continuous wavelet conversion with respect to the gradient of each pixel contained in the fingerprint image; a label optimization processing unit that optimizes/converts the parameter values corresponding to each pixel to values indicating the mutual continuity with the parameter values in surrounding pixels; and a ridge image generation unit that generates the ridge image by means of converting each pixel gradient in the fingerprint image on the basis of the optimal value.

Abstract: A fingerprint ridge image synthesis system, configured to accurately extract the shape of the ridges contained in a fingerprint image and clearly reproduce the fingerprint of the fingerprint image on an image, includes: a ridge pixel parameter calculation unit that calculates parameter values including wavelet phase, ridge angle, and inter-ridge distance corresponding to each pixel by means of applying continuous wavelet conversion with respect to the gradient of each pixel contained in the fingerprint image; a label optimization processing unit that optimizes/converts the parameter values corresponding to each pixel to values indicating the mutual continuity with the parameter values in surrounding pixels; and a ridge image generation unit that generates the ridge image by means of converting each pixel gradient in the fingerprint image on the basis of the optimal value.