DocumentCode :
1940928
Title :
Contact less hand recognition using shape and texture features
Author :
Doublet, Julien ; Lepetit, Olivier ; Revenu, Marinette
Author_Institution :
France Telecom
Volume :
3
fYear :
2006
fDate :
16-20 2006
Abstract :
The hand recognition in biometric security was developed successfully for authentication or identification. In this paper, we propose an original method of contact less biometric recognition combining information from color, texture and form. First of all, the segmentation integrates the skin color components and a form model. Then, the authentication process amalgamates by convolution the geometrical characteristics of the fingers and the texture of the analyzed palm. The experimental results show an error recognition rate lower than 2% within a population of 16 people
Keywords :
biometrics (access control); image colour analysis; image recognition; image segmentation; image texture; authentication process; biometric recognition; biometric security; contactless hand recognition; error recognition rate; shape-texture features; skin color components; Authentication; Biometrics; Databases; Fingerprint recognition; Fingers; Image segmentation; Neural networks; Shape; Skin; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.345881
Filename :
4129340
Link To Document :
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