Optimally designed Gabor filters for fingerprint recognition

Hong Hui; Hong Zhou; Le-yu Wang

doi:10.1117/12.452118

21 November 2002 Optimal designed Gabor filters for fingerprint recognition

Hong Hui, Hong Zhou, Le-yu Wang

Proceedings Volume 4790, Applications of Digital Image Processing XXV; (2002) https://doi.org/10.1117/12.452118
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

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.

Citation Download Citation

Hong Hui, Hong Zhou, and Le-yu Wang "Optimal designed Gabor filters for fingerprint recognition", Proc. SPIE 4790, Applications of Digital Image Processing XXV, (21 November 2002); https://doi.org/10.1117/12.452118

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