Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32991
Title: Is white light the best illumination for palmprint recognition?
Authors: Guo, Z
Zhang, D 
Zhang, L 
Keywords: (2D)2PCA
Biometrics
Illumination
Palmprint recognition
Issue Date: 2009
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2009, v. 5702 LNCS, p. 50-57 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Palmprint as a new biometric has received great research attention in the past decades. It owns many merits, such as robustness, low cost, user friendliness, and high accuracy. Most of the current palmprint recognition systems use an active light to acquire clear palmprint images. Thus, light source is a key component in the system to capture enough of discriminant information for palmprint recognition. To the best of our knowledge, white light is the most widely used light source. However, little work has been done on investigating whether white light is the best illumination for palmprint recognition. In this study, we empirically compared palmprint recognition accuracy using white light and other six different color lights. The experiments on a large database show that white light is not the optimal illumination for palmprint recognition. This finding will be useful to future palmprint recognition system design.
Description: 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009, Munster, 2-4 September 2009
URI: http://hdl.handle.net/10397/32991
ISBN: 3642037666
9783642037665
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-642-03767-2_6
Appears in Collections:Conference Paper

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