Palm print image processing with PCNN

Jun Yang; Xianhong Zhao

doi:10.1117/12.867026

20 August 2010 Palm print image processing with PCNN

Jun Yang, Xianhong Zhao

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78202M (2010) https://doi.org/10.1117/12.867026
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

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.

Citation Download Citation

Jun Yang and Xianhong Zhao "Palm print image processing with PCNN", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78202M (20 August 2010); https://doi.org/10.1117/12.867026

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