DocumentCode :
674243
Title :
A multi-finger knuckle recognition system for door handle
Author :
Aoyama, Shoichiro ; Ito, Kei ; Aoki, Toyohiro
Author_Institution :
Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
fYear :
2013
fDate :
Sept. 29 2013-Oct. 2 2013
Firstpage :
1
Lastpage :
7
Abstract :
This paper proposes a multi-finger knuckle recognition system for a door handle. The proposed system consists of simple hardware such as a camera and a near-infrared light source. This paper has also proposed a baseline recognition algorithm for multi-finger knuckles. The proposed algorithm consists of the region of interest (ROI) extraction and ROI matching. From the captured image, the ROI around phalangeal joint is extracted using vertical and horizontal projections. There is a large deformation between extracted ROIs due to the position of hand. To address a large deformation, the proposed algorithm employs the phase-based correspondence matching to evaluate the similarity between ROIs. Through a set of experiments, we demonstrate that the proposed baseline algorithm exhibits good performance compared with the conventional finger knuckle recognition algorithms.
Keywords :
feature extraction; image matching; image recognition; ROI extraction; ROI matching; baseline recognition algorithm; door handle; horizontal projection; multi finger knuckle recognition system; phalangeal joint; phase-based correspondence matching; region of interest extraction; vertical projection; Authentication; Cameras; Indexes; Joints; Light sources; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics: Theory, Applications and Systems (BTAS), 2013 IEEE Sixth International Conference on
Conference_Location :
Arlington, VA
Type :
conf
DOI :
10.1109/BTAS.2013.6712740
Filename :
6712740
Link To Document :
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