Fusion of multiple candidate orientations in fingerprints

Authors:
En Zhu;Edwin Hancock;Jianping Yin;Jianming Zhang;Huiyao An
Affiliations:
School of Computer Science, National University of Defense Technology, Changsha, China and Department of Computer Science, University of York, Heslington, York, UK;Department of Computer Science, University of York, Heslington, York, UK;School of Computer Science, National University of Defense Technology, Changsha, China;College of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China;School of Electronic Engineering and Computer Science, Peking University, Beijing, China
Venue:
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Year:
2011

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Abstract

This paper addresses the problem of local ridge orientation estimation of fingerprint image. The proposed method computes multiple candidate orientations for each foreground block. A systematic method, consisting of orientation voting and orientation propagation, for selecting orientation out of the multiple candidates is designed according to the smooth changing of local ridge orientations. Experiments show that the proposed methods are robust for poor quality images and the overall matching performance is improved.