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ICICIC
2006
IEEE

Fingerprint Identification Based on Frequency Texture Analysis

10 years 5 months ago
Fingerprint Identification Based on Frequency Texture Analysis
Nowadays the AFIS (Automatic fingerprint Identification system) plays more and more important roles in various applications such as access control, ATM card verification and criminal identification. The most wildly used fingerprint identification algorithm today is based on spatial minutia detection and matching, which needs a time consuming revision during the matching phase. The proposed frequencybased algorithm uses Fourier Transform to code an enhanced fingerprint image into a series of float numbers namely feature sector, where the minutia and the ridge information are fused together in the fingerprint enhancing phase. The matching is simply to calculate the absolute distance between the two feature sectors. Because the use of FFT and the concentric circle sampling method, our algorithm achieves the geometric distortion invariant ability and a high matching speed. The experiment results prove the feasibility of our algorithm, and our future research work to improve the performanc...
Juncao Li, Yong Zhang, Wenhai Kong, Xiamu Niu
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICICIC
Authors Juncao Li, Yong Zhang, Wenhai Kong, Xiamu Niu
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