Digital Image Processing
Machine Vision and Applications
Illumination-robust face recognition based on Gabor feature face intrinsic identity PCA model
CIMMACS'08 Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Methods of privacy protection certification systems
ISP'07 Proceedings of the 6th WSEAS international conference on Information security and privacy
Palm line extraction and matching for personal authentication
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A potable biometric access device using dedicated fingerprint processor
WSEAS Transactions on Computers
Recent advancements in biometrics: vein and fingerprint authentication
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume II
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To reduce the effect of fuzzy vein edges and tips of the infrared finger vein recognition, this paper presents a tri-value template fuzzy matching algorithm, which segments the vein feature image into three areas: subject area, fuzzy area and background area, and computes the average distance of non-background point to non-background area as the dissimilarity score between the two templates. The proposed matching method is robust against the fuzzy edges and tips. The experimental results show that the proposed method is feasible and practical by the recognition accuracy rate, 99.46%, to 456 near-infrared finger vein images.