Title :
Palm Print Recognition: A New Algorithm For Corner Detection Using Palm Anatomy Features
Author :
Srinivasan, Nirupama ; Micheli-Tzanakou, Evangelia
Author_Institution :
Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ
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
Keywords :
edge detection; feature extraction; fingerprint identification; alignment method; automated approach; biometrics; corner detection; corner finding algorithm; feature vector; fingertip detection; image processing; key corners; palm anatomy features; palm print recognition; region of interest extraction; visual pattern recognition; Anatomy; Biomedical measurements; Biometrics; Face recognition; Fingerprint recognition; Fingers; Image processing; Image recognition; Pattern recognition; Speech recognition; Biometrics; Image processing; Palm print recognition; Visual Pattern recognition;
Conference_Titel :
Measurement Systems for Homeland Security, Contraband Detection and Personal Safety, Proceedings of the 2006 IEEE International Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
1-4244-0241-7
Electronic_ISBN :
1-4244-0241-7
DOI :
10.1109/MSHS.2006.314340
