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Proceedings Paper

An improved finger-vein recognition algorithm based on template matching
Author(s): Yueyue Liu; Si Di; Jian Jin; Daoping Huang
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Paper Abstract

Finger-vein recognition has became the most popular biometric identify methods. The investigation on the recognition algorithms always is the key point in this field. So far, there are many applicable algorithms have been developed. However, there are still some problems in practice, such as the variance of the finger position which may lead to the image distortion and shifting; during the identification process, some matching parameters determined according to experience may also reduce the adaptability of algorithm. Focus on above mentioned problems, this paper proposes an improved finger-vein recognition algorithm based on template matching. In order to enhance the robustness of the algorithm for the image distortion, the least squares error method is adopted to correct the oblique finger. During the feature extraction, local adaptive threshold method is adopted. As regard as the matching scores, we optimized the translation preferences as well as matching distance between the input images and register images on the basis of Naoto Miura algorithm. Experimental results indicate that the proposed method can improve the robustness effectively under the finger shifting and rotation conditions.

Paper Details

Date Published: 25 October 2016
PDF: 6 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101571T (25 October 2016); doi: 10.1117/12.2246668
Show Author Affiliations
Yueyue Liu, South China Univ. of Technology (China)
Guangzhou Institute of Advanced Technology (China)
Si Di, Guangzhou Institute of Advanced Technology (China)
Shenzhen Institutes of Advanced Technology (China)
Jian Jin, Guangzhou Institute of Advanced Technology (China)
Shenzhen Institutes of Advanced Technology (China)
Daoping Huang, South China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

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