指纹特征和指静脉特征融合的身份认证  

Identity Authentication Combing the Features of Fingerprint and Finger-vein

作　　者：李朝荣[1,2] 朱利红[1] 何苏[1] 杨睿[1] 刘能凯[1] 朱鸿[1] 何攀[1] LI Chaorong ZHU Lihong HE Su YANG Rui LIU Nengkai ZHU Hong HE Pan(Department of Computer Science and Information Engineering, Yibin University, Yibin, Sichuan 644007, China School of Life Science and Technology, University of Electronic Science and Technology, Chengdu, Sichuan 610037, China)

机构地区：[1]宜宾学院计算机学院,四川宜宾644007 [2]电子科技大学生命科学与技术学院,四川成都610037

出　　处：《宜宾学院学报》2016年第12期36-39,共4页Journal of Yibin University

基　　金：四川省教育厅项目(16ZA0328;11ZA223);宜宾市科技计划项目(重点)(2015);宜宾学院博士启动基金(2015QD08);大学生创新训练项目(201610641032)

摘　　要：提出一个有效的基于指纹特征和手指静脉特征的身份认证方案.在采集同一手指的指纹图像和静脉图像后,分别提取其指纹特征和静脉特征.对于指纹图像,提取其纹线端点和交叉点的位置与方向组成指纹特征向量.对于手指静脉图像,用局部二进制(LBP)提取其有区分性的特征.进行身份识别时,分别将手指指纹特征和静脉特征进行匹配,然后根据两种特征的匹配分数进行非线性融合,得到最终的匹配结果,以达到认证目的.A scheme for the identity authentication of a user by using the muhimodal features which combined the feature of fingerprint and finer-vein was proposed. The positions, directions of the end points and crossing points of the fingerprint image were calculated. The discriminative information of the finger-vein image was extracted by using LBP method. In the identification step, the fingerprint features and finer-vein features are matched respectively, and then a nonlinear fusion based on the two matching scores is tnade tO achieve better precision rate of identity authentication.

关 键 词：指纹特征 手指静脉特征 身份认证 局部二进制模式 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]