Title :
A Novel Biometric System Based on Hand Vein
Author :
Wu, Xiangqian ; Gao, Enying ; Tang, Youbao ; Wang, Kuanquan
Author_Institution :
Bio Comput. Res. Centre, Harbin Inst. of Technol. (HIT), Harbin, China
Abstract :
As an important member of biometric family, the vein patterns rely on the interior biological information of the body, and therefore, cannot be easily damaged, changed or falsified. In this paper, we present a new hand vein recognition system, which extracts and combines the dorsal, palm and finger vein for personal recognition. In the proposed system, the whole infrared frontal and back images of a hand are firstly captured. Secondly, the region of interest (ROI) of dorsal, palm and finger vein images are cropped. Thirdly, the veins in each ROI are extracted and matched by using multi-scale 2-D Gaussian matched filter. Finally, the matched distances are fused to form the final distance for decision by employing SVM classifier. The proposed system is tested on a large database (96 hands, 1900 images) and the result is satisfactory with equal error rate (EER) of 0.0223%.
Keywords :
biology computing; biometrics (access control); blood vessels; pattern recognition; support vector machines; SVM classifier; biological information; biometric system; equal error rate; hand vein recognition system; multi-scale 2-D Gaussian matched filter; personal recognition; region of interest; vein patterns; Feature extraction; Fingers; Image recognition; Matched filters; Pattern recognition; Support vector machines; Veins; SVM; biometrics; fusion; vein;
Conference_Titel :
Frontier of Computer Science and Technology (FCST), 2010 Fifth International Conference on
Conference_Location :
Changchun, Jilin Province
Print_ISBN :
978-1-4244-7779-1
DOI :
10.1109/FCST.2010.65
