DocumentCode :
2097271
Title :
Hand and Wrist Physiological Features Extraction for near Infrared Biometrics
Author :
Akhloufi, Moulay ; Bendada, Abdelhakim
Author_Institution :
Comput. vision Lab., Laval Univ., Quebec City, QC
fYear :
2008
fDate :
28-30 May 2008
Firstpage :
341
Lastpage :
344
Abstract :
In this work we present an efficient approach for physiological features extraction from near infrared images of the hand and the lower forearm-wrist region. The physiological features represent the dorsal venous network of the hand and the superficial veins in the lower forearm and wrist region. These networks are unique to each individual and can be used as a biometric system for person recognition. An active near infrared technique is used for image acquisition. The proposed approach uses an anisotropic diffusion technique for contrast enhancement and morphological filtering to extract the venous network.
Keywords :
biometrics (access control); feature extraction; filtering theory; image enhancement; image recognition; infrared imaging; physiology; anisotropic diffusion technique; contrast enhancement; dorsal venous network; hand; image acquisition; lower forearm; morphological filtering; near infrared biometrics; near infrared images; person recognition; physiological features extraction; superficial veins; wrist; Anisotropic magnetoresistance; Biometrics; Face recognition; Feature extraction; Filters; Infrared imaging; Infrared spectra; Skin; Veins; Wrist; Biometrics; Features extraction; Infrared imaging; Segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Robot Vision, 2008. CRV '08. Canadian Conference on
Conference_Location :
Windsor, Ont.
Print_ISBN :
978-0-7695-3153-3
Type :
conf
DOI :
10.1109/CRV.2008.42
Filename :
4562130
Link To Document :
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