Structure-based fingerprint matching using optimal Gabor filters

Hong Hui; Hong Zhou; Le-Yu Wang

doi:10.1117/12.481601

30 August 2002 Structure-based fingerprint matching using optimal Gabor filters

Hong Hui, Hong Zhou, Le-Yu Wang

Proceedings Volume 4925, Electronic Imaging and Multimedia Technology III; (2002) https://doi.org/10.1117/12.481601
Event: Photonics Asia, 2002, Shanghai, China

Abstract

Structure-based algorithm, using the Gabor filters, captures rich discriminatory texture information contained in the gray level fingerprint image. It can implement matching for the limited area image of fingerprint, when the performance of traditional minutiae-based algorithm not very well because of lack of sufficient feature points in the overlap area. This method not only suits for the small area image from widely used solid-state sensor, but also acts as the complement of minutiae-based matching. Moreover, it generates a feature code with the same length, which is benefit for quickly matching. Two methods involved are described in this paper: one is the optimal design of Gabor filters, theory and methodology; the other is whole matching strategy and procedure. The core point and its director are detected to achieve the translation and rotation invariant. Many comparison experiments are also considered carefully, such as the size of tessellation cells, etc. The experiment result shows the efficiency ofthe Gabor filters and matching method. The analysis and future work is given in the end.

Citation Download Citation

Hong Hui, Hong Zhou, and Le-Yu Wang "Structure-based fingerprint matching using optimal Gabor filters", Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); https://doi.org/10.1117/12.481601

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