A novel automated hand-based personal identification

Authors:
Yinghua Lu;Yuru Wang;Jun Kong;Longkui Jiang
Affiliations:
Computer School, Jilin University, Changchun, China;Computer School, Northeast Normal University Changchun, China;Computer School, Northeast Normal University Changchun, China;Computer School, Northeast Normal University Changchun, China
Venue:
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
Year:
2006

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Abstract

A reliable and robust verification approach using hand-print features is presented in this paper. The characteristics of the proposed approach are that two hand-base features are employed, the palm-print and finger-print features. The system consists of two parts: a convenient device for hand-print image acquisition and an efficient algorithm for fast hand-print recognition. A robust and adaptive image coordinate system is defined to facilitate feature extraction. Discrete wavelet zero-crossing encoding scheme and 2-D Gabor filter is applied to hand-print feature extraction and representation. The experimental results demonstrate the effectiveness of the proposed system.