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

电子科技 ›› 2019, Vol. 32 ›› Issue (1): 32-37.doi: 10.16180/j.cnki.issn1007-7820.2019.01.007

基于图像配准的指静脉身份认证技术

金晓峰^1,²,王丹丹²,梁添才²,徐俊²,王彪¹

^1. 中山大学物理学院,广东广州510275
^2. 广州广电运通金融电子股份有限公司,广东广州510663

收稿日期:2017-12-25 出版日期:2019-01-15 发布日期:2018-12-29
作者简介:金晓峰(1985-),男,博士研究生。研究方向:智能传感器、模式识别、视频分析等。
基金资助:
广州市珠江科技新星项目(201710010152);广州市珠江科技新星项目(201610010058);广东省省级科技计划项目(2016B010124005)

Finger Vein Authentication Technology Based on Image Registration

JIN Xiaofeng^1,²,WANG Dandan²,LIANG Tiancai²,XU Jun²,WANG Biao¹

^1. School of Physics,Sun Yat-Sen University,Guangzhou 510275,China
^2. Research Institute of GRG Banking Equipment Co., Ltd,Guangzhou 510663,China

Received:2017-12-25 Online:2019-01-15 Published:2018-12-29
Supported by:
Pearl River Science and Technology Nova Project of Guangzhou, China(201710010152);Pearl River Science and Technology Nova Project of Guangzhou, China(201610010058);Science and Technology Planning Project of Guangdong Province, China(2016B010124005)

摘要/Abstract

摘要：

手指静脉在采集时手指旋转和姿态改变导致静脉形变和图像阴影,影响手指静脉身份验证的准确性。因此,文中提出一种基于图像配准的指静脉认证方法,通过少量稳定特征点配准认证图像,并提取两幅配准图像的纹理特征进行身份验证。该方法首先选择邻域清晰度高的静脉叉点作为特征点,然后对特征点进行匹配,并将两幅图像配准,最后根据纹理特征计算两幅配准图像的相似度。所提方法主要克服了基于特征点匹配的方法中点对数量少的问题,并解决了静脉形变的问题。实验结果证明,该方法较模板匹配和特征点匹配方法具有良好的性能。

关键词: 指静脉身份认证, 特征点提取, 图像配准, 静脉形变, 模板匹配, 特征点匹配

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

中图分类号:

TP391.4

金晓峰,王丹丹,梁添才,徐俊,王彪. 基于图像配准的指静脉身份认证技术[J]. 电子科技, 2019, 32(1): 32-37.

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.

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基于图像配准的指静脉身份认证技术

Finger Vein Authentication Technology Based on Image Registration

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