Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8672
Title: A unified distance measurement for orientation coding in palmprint verification
Authors: Guo, Z
Zuo, W
Zhang, L 
Zhang, D 
Keywords: Angular distance
Biometrics
Hamming distance
Orientation code
Palmprint verification
Issue Date: 2010
Source: Neurocomputing, 2010, v. 73, no. 4-6, p. 944-950 How to cite?
Journal: Neurocomputing 
Abstract: Orientation coding based palmprint verification methods, such as competitive code, palmprint orientation code and robust line orientation code, are state-of-the-art verification algorithms with fast matching speeds. Orientation code makes use of two types of distance measure, SUM_XOR (angular distance) and OR_XOR (Hamming distance), yet little is known about the similarities and differences between these two distance measures. In this paper, we propose a unified distance measure, of which both SUM_XOR and OR_XOR can be regarded as special cases, and provide some principles for determining the parameters of the unified distance. Experimental results show that, using the same feature extraction and coding methods, the unified distance measure gets lower equal error rates than the original distance measures.
URI: http://hdl.handle.net/10397/8672
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2009.09.009
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