Abstract
This paper describes an automated approach to palm print recognition. Particular emphasis has been given to the alignment method, for which a new corner finding algorithm has been developed. The corner finding algorithm proposed in this paper is a simple and fast way to process corners and has been particularly developed to detect the fingertip and trough corners of a palm. Based on three key corners, a consistent Region of Interest (ROI) is extracted for each palm. A feature vector is computed for each ROI and a similarity measure is computed from for similar and dissimilar palms. It is seen that that the similarity measure is markedly variable for similar and dissimilar palms.
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