DocumentCode :
2133824
Title :
Research of dual-model recognition algorithm based on finger vein and finger crease
Author :
Fengxu Guan ; Qiu-yu Wu ; Zhi-chao Jiang ; Ke-jun Wang
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fYear :
2012
fDate :
16-18 Oct. 2012
Firstpage :
358
Lastpage :
361
Abstract :
The advantages of finger vein are in vivo identification, internal features, non-contact and security, but it´s identified features are insufficient. Finger crease is in the surface of finger skin, and it has some stable biological features. So a finger has two kinds of biological features. Combined with the advantages and the disadvantages of finger vein and finger crease, a new dual-model recognition algorithm based on finger vein and finger crease is presented. First, the finger vein image and the finger crease image of a finger are acquired and preprocessed Separately. Second, the two types of images are fused based on pixel-level image. Finally, feature extraction and recognition are researched for the fused images. Experimental results on our database of finger vein images and finger crease images show that the recognition of dual-model method presented is higher than the recognition of single-model finger vein.
Keywords :
feature extraction; image fusion; skin; vein recognition; biological features; dual-model recognition algorithm; feature extraction; finger crease image preprocessing; finger skin; finger vein image preprocessing; image fusion; in vivo identification; pixel-level image; dual-model recognition; finger crease; finger vein; pixel-level fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-1183-0
Type :
conf
DOI :
10.1109/BMEI.2012.6513014
Filename :
6513014
Link To Document :
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