A Vein Biometric Based Authentication System

In this paper, a highly secure and an accurate personal authentication based on palm-dorsa vein patterns is proposed. Hand-dorsa images are acquired in infrared light by using a low cost camera. Acquisition takes place under unconstrained environment in a contact-less manner. Hand-dorsa images are preprocessed to extract the palm-dorsa which is used for vein pattern extraction by using multi-scale matched filtering. Image registration based matching is performed to verify the user identity. Performance of the proposed system is evaluated on a database containing 840 images from 140 different classes. Experimental results indicates that the proposed system performs better that other existing systems.

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