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Proceedings Paper

Optimally designed Gabor filters for fingerprint recognition
Author(s): Hong Hui; Hong Zhou; Le-yu Wang
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Paper Abstract

Fingerprint recognition involves in two main approaches: minutiae-based algorithm, the most popular and traditional, has several drawbacks and not suitable for the applications that using solid-state sensor; while structure-based algorithm, using the Gabor filters, captures rich discriminatory information contained in the gray level fingerprint image and generates a feature code with the same length, which is benefit for quickly matching because of the bit wise comparison. This paper probes into the optimal design of Gabor filters theoretically. The inference of optimal parameters of Gabor filters and the whole identification procedure is described in detail. Many comparison experiments are also considered carefully, such as the size of tessellation cells, etc. The experiment result shows the efficiency of the Gabor filters. And to reduce the identification time, we remain the main filters while maintaining same recognition accuracy.

Paper Details

Date Published: 21 November 2002
PDF: 7 pages
Proc. SPIE 4790, Applications of Digital Image Processing XXV, (21 November 2002); doi: 10.1117/12.452118
Show Author Affiliations
Hong Hui, Zhejiang Univ. (China)
Hong Zhou, Zhejiang Univ. (China)
Le-yu Wang, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 4790:
Applications of Digital Image Processing XXV
Andrew G. Tescher, Editor(s)

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