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Journal of Electronic Imaging

Finger vein recognition based on finger crease location
Author(s): Zhiying Lu; Shumeng Ding; Jing Yin
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Paper Abstract

Finger vein recognition technology has significant advantages over other methods in terms of accuracy, uniqueness, and stability, and it has wide promising applications in the field of biometric recognition. We propose using finger creases to locate and extract an object region. Then we use linear fitting to overcome the problem of finger rotation in the plane. The method of modular adaptive histogram equalization (MAHE) is presented to enhance image contrast and reduce computational cost. To extract the finger vein features, we use a fusion method, which can obtain clear and distinguishable vein patterns under different conditions. We used the Hausdorff average distance algorithm to examine the recognition performance of the system. The experimental results demonstrate that MAHE can better balance the recognition accuracy and the expenditure of time compared with three other methods. Our resulting equal error rate throughout the total procedure was 3.268% in a database of 153 finger vein images.

Paper Details

Date Published: 11 July 2016
PDF: 11 pages
J. Electron. Imag. 25(4) 043004 doi: 10.1117/1.JEI.25.4.043004
Published in: Journal of Electronic Imaging Volume 25, Issue 4
Show Author Affiliations
Zhiying Lu, Tianjin Univ. (China)
Shumeng Ding, Tianjin Univ. (China)
Jing Yin, Tianjin Univ. (China)

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