基于图像配准的指静脉身份认证技术

doi:10.16180/j.cnki.issn1007-7820.2019.01.007

Abstract

Abstract:

Venous distortion and image shadow that result from finger rotation and posture change during finger vein capture affect the accuracy of finger vein authentication. Therefore, this paper proposed a finger vein authentication method based on image registration, which authenticated the images by registering a few stable feature points, and extracting the texture features of the two registered images. In this method, it firstly selected the clues with high resolution in the neighborhood as the feature points, then matched the feature points and registered the two images. Finally, the similarity of the two registration images were calculated according to the texture features. The proposed method mainly overcame the problem of small number of points in the method based on feature point matching and solved the problem of venous deformation. Experimental results showed that this method had better performance than template matching and feature point matching.

Key words: finger vein authentication, feature point extraction, image registration, vein distortion, template matching, feature point matching

CLC Number:

TP391.4

JIN Xiaofeng,WANG Dandan,LIANG Tiancai,XU Jun,WANG Biao. Finger Vein Authentication Technology Based on Image Registration[J].Electronic Science and Technology, 2019, 32(1): 32-37.

Figures/Tables 7

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References 24

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Finger Vein Authentication Technology Based on Image Registration

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