Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26902
Title: 3-D palmprint recognition with joint line and orientation features
Authors: Li, W
Zhang, D 
Zhang, L 
Lu, G
Yan, J
Keywords: 3-D palmprint identification
Biometrics
Feature fusion
Mean curvature
Issue Date: 2011
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on systems, man, and cybernetics. Part C, Applications and reviews, 2011, v. 41, no. 2, 5551238, p. 274-279 How to cite?
Journal: IEEE transactions on systems, man, and cybernetics. Part C, Applications and reviews 
Abstract: 2-D palmprint has been recognized as an effective biometric identifier in the past decade. Recently, 3-D palmprint recognition was proposed to further improve the performance of palmprint systems. This paper presents a simple yet efficient scheme for 3-D palmprint recognition. After calculating and enhancing the mean-curvature image of the 3-D palmprint data, we extract both line and orientation features from it. The two types of features are then fused at either score level or feature level for the final 3-D palmprint recognition. The experiments on The Hong Kong Polytechnic University 3-D palmprint database, which contains 8000 samples from 400 palms show that the proposed feature extraction and fusion methods lead to promising performance.
URI: http://hdl.handle.net/10397/26902
ISSN: 1094-6977
DOI: 10.1109/TSMCC.2010.2055849
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