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Fingerprint classification using singular points and Fourier image
| Content Provider | CiteSeerX |
|---|---|
| Author | Rahmati, Mohammad Jannatpour, Ali |
| Abstract | 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 256x256 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 4x4 wedge-ring detector applied to the transformed image. These codes will be used to show the dissimilarity among similar images 6. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Singular Point Fourier Image Fingerprint Classification Directional Image 256x256 Rectangular Image Local Maximum Algorithm Wedge-ring Detector Hough Transform One-byte Code Fingerprint Image Similar Image Characteristic Feature Eight-byte Code Core Delta Candidate Point Original Picture Hexagonal Image |
| Content Type | Text |
