Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28502
Title: Hierarchical palmprint identification via multiple feature extraction
Authors: You, J 
Li, W
Zhang, D 
Keywords: Biometric computing
Feature extraction
Image matching
Interesting points
Palmprint classification
Texture features
Issue Date: 2002
Publisher: Elsevier
Source: Pattern recognition, 2002, v. 35, no. 4, p. 847-859 How to cite?
Journal: Pattern recognition 
Abstract: Biometric computing offers an effective approach to identify personal identity by using individual's unique, reliable and stable physical or behavioral characteristics. This paper describes a new method to authenticate individuals based on palmprint identification and verification. Firstly, a comparative study of palmprint feature extraction is presented. The concepts of texture feature and interesting points are introduced to define palmprint features. A texture-based dynamic selection scheme is proposed to facilitate the fast search for the best matching of the sample in the database in a hierarchical fashion. The global texture energy, which is characterized with high convergence of inner-palm similarities and good dispersion of inter-palm discrimination, is used to guide the dynamic selection of a small set of similar candidates from the database at coarse level for further processing. An interesting point based image matching is performed on the selected similar patterns at fine level for the final confirmation. The experimental results demonstrate the effectiveness and accuracy of the proposed method.
URI: http://hdl.handle.net/10397/28502
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/S0031-3203(01)00100-5
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