DocumentCode :
2914251
Title :
Graph application on face for personal authentication and recognition
Author :
Kisku, Dakshina Ranjan ; Rattani, Ajita ; Tistarelli, Massimo ; Gupta, Phalguni
Author_Institution :
Dept of Comput. Sci. & Eng., Asansol Eng. Coll., Asansol
fYear :
2008
fDate :
17-20 Dec. 2008
Firstpage :
1150
Lastpage :
1155
Abstract :
This paper presents a novel face recognition technique with graph topology drawn on scale invariant feature transform (SIFT) features and is compared with all the available well known techniques on SIFT features, and elastic bunch graph matching (EBGM) technique drawn on gabor wavelet feature. IITK face database is used for evaluation purpose. Test results show that the proposed graph matching technique will be an appropriate one for face recognition. Finally, the test results have been compared with the results found on BANCA face database following MC protocol only.
Keywords :
face recognition; graph theory; visual databases; wavelet transforms; Gabor wavelet feature; IITK face database; elastic bunch graph matching; face recognition; graph application; graph topology; personal authentication; scale invariant feature transform; Application software; Authentication; Biometrics; Computer science; Face detection; Face recognition; Lighting; Robotics and automation; Spatial databases; Testing; BANCA face database; EBGM; IITK face database; SIFT features; correspondence graph; euclidean distance metric; face recognition; gabor wavelet; graph matching constraints;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
Type :
conf
DOI :
10.1109/ICARCV.2008.4795683
Filename :
4795683
Link To Document :
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