Automated flexion crease identification using internal image seams

Authors:
T. Cook;R. Sutton;K. Buckley
Affiliations:
University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1LY, UK;University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1LY, UK;University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1LY, UK
Venue:
Pattern Recognition
Year:
2010

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Abstract

Palmar flexion crease recognition is a palmprint identification method for verifying biometric identity. This paper proposes a method of automated flexion crease recognition that can be used to identify palmar flexion creases in online palmprint images. A modified image seams algorithm is used to extract the flexion creases, and a matching algorithm, based on kd-tree nearest neighbour searching, is used to calculate the similarity between them. Experimental results show that in 1000 images from 100 palms, when compared to manually identified flexion creases, a genuine acceptance rate of 100% can be achieved, with a false acceptance rate of 0.0045%.