Personal authentication using finger vein pattern and finger-dorsa texture fusion

Authors:
Wenming Yang;Xiang Yu;Qingmin Liao
Affiliations:
Tsinghua Unversity, Shenzhen, China;Tsinghua Unversity, Shenzhen, China;Tsinghua Unversity, Shenzhen, China
Venue:
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Year:
2009

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Abstract

Personal authentication has attracted great attention due to its large potential of security application, and many researches have shown that fusion of features or decisions obtained from various single-modal biometrics verification systems can enhance the overall performance of system. In this paper, we proposed a novel multimodal biometric approach fusing finger vein pattern with finger-dorsa texture. Firstly, Finger Vein image and finger-dorsa image from the same finger are captured simultaneously, and a method is designed to segment Regions Of Interest(ROI) of vein image and dorsal image. Secondly, two strategies are designed to extract finger vein pattern and finger-dorsa texture respectively. Vein extraction strategy consists of four steps: local thresholding, modified line tracking, thorough probability map creating and directional neighbor analysis. Gray normalization is performed on finger-dorsa image to extract main finger-dorsa texture. Thirdly, the binarized vein pattern and normalized dorsal texture are fused into one feature image. Finally, a block-based texture feature is proposed for personal authentication. Experimental results showed that the proposed fusion method outperforms any one of finger-dorsa and finger vein methods.