Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77432
Title: Discriminative and robust competitive code for palmprint recognition
Authors: Xu, Y
Fei, L
Wen, J
Zhang, D 
Keywords: Biometric
Discriminative competitive code (DCC)
Palmprint recognition
Robust orientation extraction
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on systems, man, and cybernetics. Systems, 2018, v. 48, no. 2, 7546925, p. 232-241 How to cite?
Journal: IEEE transactions on systems, man, and cybernetics. Systems 
Abstract: Various palmprint recognition methods have been proposed based on orientation features of palmprints. Among them, the competitive code method using the dominant orientation of palmprint images achieves promising performance in palmprint recognition. In this paper, we propose a discriminative and robust competitive code based method, which uses a more accurate dominant orientation representation of palmprint images for palmprint authentication. Moreover, we propose to weight the orientation information of a neighbor area to improve the precision and stability of the discriminative and robust dominant orientation code. Experiments performed on three types of palmprint databases and a noisy dataset validate the effectiveness of the proposed method.
URI: http://hdl.handle.net/10397/77432
ISSN: 2168-2216
EISSN: 2168-2232
DOI: 10.1109/TSMC.2016.2597291
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