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There are many difficulties for face recognition, such as varying illumination, facial expressions, high dimensions of images, and optimal classifier design. The facial features would be vague by varying illumination and the positions of facial features would be changed by expressions. These problems influence on the recognition results heavily. Moreover, the dimensions of raw images are very high...
Singular point detection is a critical process for both fingerprint matching and fingerprint classification. The process of singular points detection must be fast and robust; otherwise, the performance of the whole fingerprint recognition system would be influenced heavily. In this paper, we will combine the advantages of Poincareacute index and fast Fourier transform to develop a fast and robust...
In fingerprints, singular points, including cores and deltas, are very important features. To classify the types of fingerprints, the number and the position of cores and deltas are concerned. For fingerprint matching, some approaches used the core point to align two fingerprint images to overcome the problems from rotation and translation. Therefore, singular points detection is a critical process...
Most researchers applied the same procedure in both fingerprint enrollment and fingerprint verification. In general, many overall pixel-level computations are employed in the procedure of fingerprint enrollment to obtain clear minutiae. Because the minutiae-matching is performed only once for one-to-one verification, we propose a different procedure to directly check the positions of minutiae in gray-level...
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