Finger Vein Recognition based on Personalized Discriminative Bit Map

Authors

Xuzhou Li, School of Computer Science and Technology, Shandong University, Jinan, 250101, China\\ Key Laboratory of Information Security and Intelligent Control in Universities of Shandong, School of Information Engineering, Shandong Youth University of Political Science, Jinan 250103, China
Xiaoming Xi
Yilong Yin
Gongping Yang

Author Country (or Countries)

China

Abstract

Finger vein recognition is a promising biometric recognition due to its some advantages. For a finger vein recognition system, feature extraction is a critical step for the final recognition. In our previous work, we proposed Personalized Best Bit Map(PBBM) which selected the stable bits from LBP. Although PBBM achieve a better performance, it still contains some useless bits for recognition. In this paper, we propose Personalized Discriminative Bit Map(PDBM) which select much more discriminative bits from PBBM. The bits of PDMB are more discriminative and more effective for the final recognition. In addition, compared with PBBM, the number of bits for matching is reduced, so PDBM can also reduce the computation complexity. Experimental results show that PDBM achieves not only better performance, but also consumes less time for matching.

Suggested Reviewers

N/A

Digital Object Identifier (DOI)

http://dx.doi.org/10.12785/amis/080653

Recommended Citation

Li, Xuzhou; Xi, Xiaoming; Yin, Yilong; and Yang, Gongping (2014) "Finger Vein Recognition based on Personalized Discriminative Bit Map," Applied Mathematics & Information Sciences: Vol. 08: Iss. 6, Article 53.
DOI: http://dx.doi.org/10.12785/amis/080653
Available at: https://digitalcommons.aaru.edu.jo/amis/vol08/iss6/53