DocumentCode
2775938
Title
Contactless Hand Recognition Based on Distribution Estimation
Author
Doublet, J. ; Lepetit, O. ; Revenu, M.
Author_Institution
France Telecom R&D, Caen
fYear
2007
fDate
11-13 Sept. 2007
Firstpage
1
Lastpage
6
Abstract
More and more research have been developed very recently for automatic hand recognition. This paper proposes a new method for contactless hand authentication in complex images with low cost devices. Our system uses skin color and hand shape information for hand detection process. Next, the palm is extracted and characterized by a bank of Gabor filters. Finally, the palm features are compared with a distribution estimation given an optimal discrimination. The experimental results present an error rate lower than 1.7% with a population of 49 people.
Keywords
Gabor filters; biometrics (access control); feature extraction; image colour analysis; image recognition; Gabor filter; automatic hand recognition; contactless hand authentication; contactless hand recognition; distribution estimation; hand detection process; hand shape information; palm feature extraction; skin color information; Authentication; Biometrics; Data mining; Gabor filters; Glass; Image segmentation; Research and development; Shape; Skin; Telecommunications;
fLanguage
English
Publisher
ieee
Conference_Titel
Biometrics Symposium, 2007
Conference_Location
Baltimore, MD
Print_ISBN
978-1-4244-1549-6
Electronic_ISBN
978-1-4244-1549-6
Type
conf
DOI
10.1109/BCC.2007.4430547
Filename
4430547
Link To Document