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In fingerprint images, the discontinuous points include cores, deltas, minutiae, and etc. Generally, cores and deltas are applied to fingerprint classification and minutiae are to fingerprint matching. Owing to complicated processes, most researchers developed minutiae extraction algorithm from 500 dpi fingerprint images in the past. Therefore, much time is wasted before minutiae are extracted. Besides,...
Conventional Gabor filter-based approaches are global considerations for the selections of Gabor filters. Owing to fingerprint patterns are full of ridges and valleys; the whole fingerprint can be viewed as the composition of many various local ridge-valley structures. Based on the various local ridge orientations and frequencies, the whole fingerprint is represented by a template of local Gabor filters...
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...
While buffer overflow problem has been known for a long time, it continues to present a serious security threat. Many solutions to the notorious problem were proposed. However, they had their own drawbacks. This paper presents a solution called API invocation fingerprint detection (AIFD) to eliminate overflow vulnerability with very low performance penalty. The solution is API-hook-based, which does...
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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