18 October 1999 Fingerprint classification using singular points and Fourier image
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Singular points are one of the characteristic features of fingerprint images. In this paper, a new way of finding these singular points from the directional image is proposed. The image used in this system is a 256 X 256 rectangular image from which the hexagonal image will be extracted. After producing the directional image, two other images will be constructed for the core & delta candidate points. These pair of points will be selected using a method based on Hough transform and local maximum algorithm. Based on the position and number of these points a one-byte code will be assigned to that class. By performing the Fourier image of the original picture, an eight-byte code will be assigned to the image using a 4 X 4 wedge-ring detector applied to the transformed image. These codes will be used to show the dissimilarity among similar images.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohammad Rahmati, Mohammad Rahmati, Ali Jannatpour, Ali Jannatpour, } "Fingerprint classification using singular points and Fourier image", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); doi: 10.1117/12.365867; https://doi.org/10.1117/12.365867


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