Efficient Finger Vein Localization and Recognition

In order to achieve accurate recognition of human finger vein (FV), this paper addresses the problems of finger vein localization and vein feature extraction. An inherent physical property of human fingers is used to localize the region of interest (ROI) of vein images as well as removing uninformative vein imagery based on the inter-phalangeal joint prior. In addition, vein images are characterized as a series of energy features through steerable filters. Experimental results show the promising performance of the proposed algorithm for human vein identification.

[1]  Naoto Miura,et al.  Extraction of Finger-Vein Patterns Using Maximum Curvature Points in Image Profiles , 2007, MVA.

[2]  Yu Chengbo,et al.  A Research on Extracting Low Quality Human Finger Vein Pattern Characteristics , 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.

[3]  Wang Ke Finger Vein Recognition Based on Wavelet Moment Fused with PCA Transform , 2007 .

[4]  Sun Qiang Vasculature Development in Embryos and Its Regulatory Mechanisms , 2003 .

[5]  Jinfeng Yang,et al.  Finger-Vein Recognition Based on a Bank of Gabor Filters , 2009, ACCV.

[6]  Zhang Rui,et al.  Study on the Identity Authentication System on Finger Vein , 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.

[7]  Edward H. Adelson,et al.  The Design and Use of Steerable Filters , 1991, IEEE Trans. Pattern Anal. Mach. Intell..