Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43959
Title: Double-orientation code and nonlinear matching scheme for palmprint recognition
Authors: Fei, L
Xu, Y
Tang, W
Zhang, D 
Keywords: Biometric
Double-orientation code
Nonlinear angular distance
Palmprint recognition
Issue Date: 2016
Publisher: Elsevier
Source: Pattern recognition, 2016, v. 49, p. 89-101 How to cite?
Journal: Pattern recognition 
Abstract: Many palmprint authentication approaches have been proposed in recent years. Among them, the orientation based coding approach, in which the dominant orientation features of palmprints are extracted and encoded into bitwise codes, is one of the most promising approaches. The distance between codes created from two palmprint images is calculated in the matching stage. Reliable orientation feature extraction and efficient matching are the two most crucial problems in orientation based coding approaches. However, conventional coding based approaches usually extract only one dominant orientation feature by adopting filters with discrete orientations, which is sensitive to the noise and rotation. This paper proposed a novel double-orientation code (DOC) scheme to represent the orientation feature of palmprint and designed an effective nonlinear angular matching score to evaluate the similarity between the DOC. Extensive experiments performed on three types of palmprint databases demonstrate that the proposed approach has excellent performance in comparison with previously proposed state-of-the-art approaches.
URI: http://hdl.handle.net/10397/43959
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/j.patcog.2015.08.001
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