Palmprint based recognition system using local structure tensor and force field transformation

Authors:
Kamlesh Tiwari;Devendra Kumar Arya;Phalguni Gupta
Affiliations:
Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India;Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India;Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Year:
2011

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Abstract

This paper presents an efficient palmprint based recognition system. In this system, the image is divided into disjoint sub-images. For each sub-image, the dominant orientation pixels based on the force field transformation are identified. Structure tensor values of these dominant orientation pixels of each sub-image are averaged to form tensor matrix for the sub-image. Eigen decomposition of each tensor matrix is used to generate the feature matrix which is used to take decision on matching. The system has been tested on IITK database. The experimental results reveal the accuracy of 100% for the database.