Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30653
Title: Palmprint identification using feature-level fusion
Authors: Kong, A
Zhang, D 
Kamel, M
Keywords: Biometrics
Fusion
Palmprint
Security
Zero-crossing
Issue Date: 2006
Source: Pattern recognition, 2006, v. 39, no. 3, p. 478-487 How to cite?
Journal: Pattern Recognition 
Abstract: In this paper, we propose a feature-level fusion approach for improving the efficiency of palmprint identification. Multiple elliptical Gabor filters with different orientations are employed to extract the phase information on a palmprint image, which is then merged according to a fusion rule to produce a single feature called the Fusion Code. The similarity of two Fusion Codes is measured by their normalized hamming distance. A dynamic threshold is used for the final decisions. A database containing 9599 palmprint images from 488 different palms is used to validate the performance of the proposed method. Comparing our previous non-fusion approach and the proposed method, improvement in verification and identification are ensured.
URI: http://hdl.handle.net/10397/30653
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2005.08.014
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