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.
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