DocumentCode :
648952
Title :
Algorithms for user detection and authentication based on face analysis
Author :
Chovanec, Michal ; Bily, J. ; Chovancova, Eva ; Radusovsky, Jan
Author_Institution :
Inst. of Comput. Technol., Tech. Univ. of Kosice, Kosice, Slovakia
fYear :
2013
fDate :
24-25 Oct. 2013
Firstpage :
63
Lastpage :
66
Abstract :
Nowadays, there are many methods for identifying people, but most common and probably the oldest one is identification based on face recognition. Even though for people this method is natural, for computers it is a very challenging and complex problem. This paper describes one the known approaches for face recognition, which uses principal component analysis to compare and recognize faces. Obviously, a before face is recognized, it has to be detected. For process of detection, method based on Haar features is used.
Keywords :
Haar transforms; edge detection; face recognition; message authentication; principal component analysis; Haar features; face analysis; face identification; face recognition; principal component analysis; user authentication; user detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging eLearning Technologies and Applications (ICETA), 2013 IEEE 11th International Conference on
Conference_Location :
Stara Lesna
Print_ISBN :
978-1-4799-2161-4
Type :
conf
DOI :
10.1109/ICETA.2013.6674405
Filename :
6674405
Link To Document :
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