DocumentCode :
2769826
Title :
Comparative Study of Different Face Recognition Techniques
Author :
Kukreja, Sandeep ; Gupta, Rekha
Author_Institution :
Dept. of Electron. Eng., Madhav Inst. of Technol. & Sci., Gwalior, India
fYear :
2011
fDate :
7-9 Oct. 2011
Firstpage :
271
Lastpage :
273
Abstract :
This paper presents performance comparison of three leading face recognition techniques. In the first method, the face recognition is done using principle component analysis (PCA). In the second method we combine K-nearest neighbor (KNN) classification method with PCA. The face recognition using histogram is also carried out. The above methods are compared on the basis of accuracy and time taken in an ORL database and YALE database.
Keywords :
face recognition; pattern classification; principal component analysis; ORL database; YALE database; face recognition techniques; histogram; k-nearest neighbor classification method; performance comparison; principle component analysis; Communication systems; Computational intelligence; Eigenfaces; Euclidean distance; KNN; PCA; Processed Histogram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4577-2033-8
Type :
conf
DOI :
10.1109/CICN.2011.55
Filename :
6112869
Link To Document :
بازگشت