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Palm Print Recognition: A New Algorithm For Corner Detection Using Palm Anatomy Features

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2 Author(s)
Srinivasan, N. ; Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ ; Micheli-Tzanakou, E.

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

Published in:

Measurement Systems for Homeland Security, Contraband Detection and Personal Safety, Proceedings of the 2006 IEEE International Workshop on

Date of Conference:

18-19 Oct. 2006