Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21559
Title: Feature-level fusion for effective palmprint authentication
Authors: Kong, AWK
Zhang, D 
Issue Date: 2004
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2004, v. 3072, p. 761-767 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: A feature-level fusion approach is proposed for improving the efficiency of palmprint identification. Multiple Gabor filters 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 database containing 7,752 palmprint images from 386 different palms is used to validate the performance of the proposed method. Empirically comparing our previous non-fusion approach and the proposed method, improvement in verification is ensured.
URI: http://hdl.handle.net/10397/21559
ISSN: 0302-9743
EISSN: 1611-3349
Appears in Collections:Conference Paper

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