Share Email Print

Proceedings Paper

Structure-based fingerprint matching using optimal Gabor filters
Author(s): Hong Hui; Hong Zhou; Le-Yu Wang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 30 August 2002
PDF: 7 pages
Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481601
Show Author Affiliations
Hong Hui, Zhejiang Univ. (China)
Hong Zhou, Zhejiang Univ. (China)
Le-Yu Wang, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 4925:
Electronic Imaging and Multimedia Technology III
LiWei Zhou; Chung-Sheng Li; Yoshiji Suzuki, Editor(s)

© SPIE. Terms of Use
Back to Top