Share Email Print
cover

Proceedings Paper

A compact finger-vein identification system based on infrared imaging
Author(s): Si Di; Jian Jin
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Finger-vein identification has become the most popular biometric identify methods. The investigation on the identification 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 identification 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:
PDF: 6 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621X; doi: 10.1117/12.2284304
Show Author Affiliations
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)


Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

© SPIE. Terms of Use
Back to Top