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基于特征点距离的手背静脉特征融合方法
引用本文:任桐慧,刘富,姜守坤,王贺,杨悦.基于特征点距离的手背静脉特征融合方法[J].吉林大学学报(信息科学版),2016,34(1):73-78.
作者姓名:任桐慧  刘富  姜守坤  王贺  杨悦
作者单位:吉林大学通信工程学院,长春,130022;吉林大学交通学院,长春130022;长春光华学院电气信息学院,长春130031
基金项目:吉林省科技厅基金资助项目(201402040467)
摘    要:针对现有手背静脉识别利用手背静脉特征较少, 识别率较低的问题, 提出了一种基于特征点距离的手背静脉特征融合方法。该方法首先对手背静脉进行细化, 对不变矩特征的量化值求和再进行匹配; 然后提取手背静脉的端点及交叉点, 利用改进的Hausdorff 距离进行匹配, 从而去除零距离点的影响, 提高两幅图之间的非相似性; 最后将这两种匹配方法进行加权融合。实验证明, 该融合算法识别率可达96. 75%, 且运行时间仅为0. 97 s。

关 键 词:生物识别  手背静脉  特征点  不变距  Hausdorff距离  加权融合
收稿时间:2015-09-14

Fusion Method Based on Feature Point Distance of Hand Vein
REN Tonghui,LIU Fu,JIANG Shoukun,WANG He,YANG Yue.Fusion Method Based on Feature Point Distance of Hand Vein[J].Journal of Jilin University:Information Sci Ed,2016,34(1):73-78.
Authors:REN Tonghui  LIU Fu  JIANG Shoukun  WANG He  YANG Yue
Institution:1a. College of Communication Engineering; 1b. College of Transportation Engineering, Jilin University, Changchun 130022, China;2. College of Electrical Information, Changchun Guanghua University, Changchun 130031, China
Abstract:In order to solve the shortcoming of fewer hand vein characteristics and lower recognition rates of hand vein recognition, we proposed a fusion method based on feature point distance of hand vein. Firstly, the hand vein is refined and matched the sum of quantized values of moment invariants feature; then the endpoints and the intersections of hand vein is extracted, and the improved Hausdorff distance is used to match, so the effects of zero point was removed, the degree of dissimilarity between two images was increased; finally, the two methods are weighted and fused. The experimental results show that fusion algorithm recognition rate can reach 96. 75%, and the running time is 0. 97 s.
Keywords:biometrics  hand vein  feature points  moment invariants  Hausdorff distance  weighted fusion
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