Finger-Vein Recognition Based on a Bank of Gabor Filters

被引:0
|
作者
Yang, Jinfeng [1 ]
Shi, Yihua [1 ]
Yang, Jinli [1 ]
机构
[1] Civil Aviat Univ China, Tianjin Key Lab Adv Signal Proc, Tianjin 300300, Peoples R China
来源
关键词
Biometrics; finger-vein recognition; Gabor filter; FEATURE-EXTRACTION; RESOLUTION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a new finger-vein based method of personal identification. A reliable finger-vein region suitable for recognition is first acquired using our homemade imaging system. To exploit the finger-vein characteristics with high randomicity, a bank of Gabor filters specific to finger-vein analysis is then designed. Based on the spatial filtered images, finger-vein feature vectors are constructed for describing finger-vein characteristics in two filter scales. Finally, a fusion scheme in decision level is adopted to improve the reliability of identification. Experimental results are given to show the effectiveness of the proposed method in personal identification.
引用
收藏
页码:374 / 383
页数:10
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