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Proceedings Paper

Palm print image processing with PCNN
Author(s): Jun Yang; Xianhong Zhao
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Paper Abstract

Pulse coupled neural networks (PCNN) is based on Eckhorn's model of cat visual cortex, and imitate mammals visual processing, and palm print has been found as a personal biological feature for a long history. This inspired us with the combination of them: a novel method for palm print processing is proposed, which includes pre-processing and feature extraction of palm print image using PCNN; then the feature of palm print image is used for identifying. Our experiment shows that a verification rate of 87.5% can be achieved at ideal condition. We also find that the verification rate decreases duo to rotate or shift of palm.

Paper Details

Date Published: 20 August 2010
PDF: 6 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78202M (20 August 2010); doi: 10.1117/12.867026
Show Author Affiliations
Jun Yang, Chang'an Univ. (China)
Xianhong Zhao, Chang'an Univ. (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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