A palmprint recognition algorithm using phase-based correspondence matching

Authors:
Koichi Ito;Satoshi Iitsuka;Takafumi Aoki
Affiliations:
Graduate School of Information Sciences, Tohoku University, Sendai-shi, Japan;Graduate School of Information Sciences, Tohoku University, Sendai-shi, Japan;Graduate School of Information Sciences, Tohoku University, Sendai-shi, Japan
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

Palmprint images taken from a camera are distorted due to movement of a hand and fingers. To achieve reliable palmprint recognition, it is necessary to employ a recognition algorithm dealing with nonlinear distortion, while the conventional algorithms only consider the rigid body transformation between palmprint images. This paper proposes a palmprint recognition algorithm using phasebased correspondence matching. In order to handle nonlinear distortion, the proposed algorithm (i) finds corresponding points between two images using phase-based correspondence matching and (ii) evaluates a similarity between local image blocks around the corresponding points. Experimental evaluation using a palmprint image database demonstrates efficient recognition performance of the proposed algorithm compared with conventional algorithms.