FINGER-VEIN MATCHING BASED ON ADAPTIVE VECTOR FIELD ESTIMATION

被引：0
作者：
Yang, Linfeng [1 ]
Wu, Meijing [1 ]
Wang, Wanyin [1 ]
Shi, Yihua [1 ]
机构：
[1] Civil Aviat Univ China, Tianjin Key Lab Adv Signal Proc, Tianjin, Peoples R China
来源：
2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) | 2012年
关键词：
Biometrics; finger-vein matching; curve filter; vector field;
D O I：
暂无
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
In this paper, a new finger-vein vector field estimation method is proposed for the primitive finger-vein feature representation. First, a set of spatial curve filters (SCFs) is built based on a variable curve model in curvature and orientation. To make SCFs adaptive to vein-width variations, a curve length field (CLF) estimation method is then proposed. Next, with the CLF constrain, a vein vector field is established for finger-vein feature description. Finally, finger-vein matching performance is evaluated using Phase-Only-Correlation (POC) measure. Experimental results show that the proposed method is highly powerful in improving finger-vein matching accuracy.
引用
收藏
页码：145 / 148
页数：4
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