DocumentCode
2479380
Title
Efficient Finger Vein Localization and Recognition
Author
Yang, Jinfeng ; Li, Xu
Author_Institution
Tianjin Key Lab. for Adv. Signal Process., Civil Aviation Univ. of China, Tianjin, China
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
1148
Lastpage
1151
Abstract
In order to achieve accurate recognition of human finger vein (FV), this paper addresses the problems of finger vein localization and vein feature extraction. An inherent physical property of human fingers is used to localize the region of interest (ROI) of vein images as well as removing uninformative vein imagery based on the inter-phalangeal joint prior. In addition, vein images are characterized as a series of energy features through steerable filters. Experimental results show the promising performance of the proposed algorithm for human vein identification.
Keywords
biometrics (access control); feature extraction; image recognition; image representation; energy features; finger vein localization; finger vein recognition; human vein identification; image region-of-interest; inter-phalangeal joint prior; steerable filters; Feature extraction; Humans; Image databases; Image segmentation; Joints; Spectrogram; Veins;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.287
Filename
5595881
Link To Document