Journal of Biomedical Science and Engineering

Volume 2, Issue 4 (August 2009)

ISSN Print: 1937-6871   ISSN Online: 1937-688X

Google-based Impact Factor: 0.66  Citations  h5-index & Ranking

Finger-vein image recognition combining modified hausdorff distance with minutiae feature matching

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DOI: 10.4236/jbise.2009.24040    12,688 Downloads   21,628 Views  Citations

ABSTRACT

In this paper, we propose a novel method for finger-vein recognition. We extract the features of the vein patterns for recognition. Then, the minutiae features included bifurcation points and ending points are extracted from these vein patterns. These feature points are used as a geometric representation of the vein patterns shape. Finally, the modified Hausdorff distance algorithm is provided to evaluate the identifica-tion ability among all possible relative positions of the vein patterns shape. This algorithm has been widely used for comparing point sets or edge maps since it does not require point cor-respondence. Experimental results show these minutiae feature points can be used to perform personal verification tasks as a geometric rep-resentation of the vein patterns shape. Fur-thermore, in this developed method. we can achieve robust image matching under different lighting conditions.

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Yu, C. , Qin, H. , Zhang, L. and Cui, Y. (2009) Finger-vein image recognition combining modified hausdorff distance with minutiae feature matching. Journal of Biomedical Science and Engineering, 2, 261-272. doi: 10.4236/jbise.2009.24040.

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