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Proceedings Paper

A video camera based palmprint verification method
Author(s): Darun Tang; Beining Huang; Di Xie; Wenxin Li; Zhuoqun Xu
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Paper Abstract

In this paper, we propose a new online palmprint verification method, providing a more convenient way to users when having palmprint images captured. Unlike other palmprint verification methods, which use positioning pods to fix the location of a palm, we suggest capturing a palmprint without using any devices to locate the palm. Therefore it makes the users more comfortable but requires better positioning algorithm to locate the palmprint automatically. Here we propose an inscribe circle based palmprint positioning and interesting area extraction algorithm to deal with the palmprint position variation introduced in capturing. We also suggest using the histogram stretching to eliminate the impact of environment light variation. We suggest using the Niblack method to extract the principle lines on a palm and proposed a bi-directional matching method for similarity measurement. The experimental results demonstrate the effectiveness of our method.

Paper Details

Date Published: 10 September 2007
PDF: 12 pages
Proc. SPIE 6777, Multimedia Systems and Applications X, 67770Q (10 September 2007); doi: 10.1117/12.731114
Show Author Affiliations
Darun Tang, Peking Univ. (China)
Beining Huang, Peking Univ. (China)
Di Xie, Peking Univ. (China)
Wenxin Li, Peking Univ. (China)
Zhuoqun Xu, Peking Univ. (China)


Published in SPIE Proceedings Vol. 6777:
Multimedia Systems and Applications X
Susanto Rahardja; JongWon Kim; Jiebo Luo, Editor(s)

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