DocumentCode
605752
Title
Face recognition with Linear Discriminant Analysis and neural networks
Author
Fatahi, S. ; Zadkhosh, E. ; Chalechale, Abdollah
Author_Institution
Dept. of Comput. Eng., Razi Univ., Kermanshah, Iran
fYear
2013
fDate
6-8 March 2013
Firstpage
1
Lastpage
4
Abstract
In this paper, a new face recognition method based on PCA (principal Component Analysis), LDA (Linear Discriminant Analysis) and neural networks is proposed. Combination of PCA and LDA is used for improving the capability of LDA when a few samples of images are available. The proposed method was tested on ORL face database. Experimental results on this database demonstrated the effectiveness of the proposed method for face recognition with less misclassification in comparison with previous methods.
Keywords
face recognition; neural nets; LDA; ORL face database; PCA; face recognition; linear discriminant analysis; neural networks; principal component analysis; Databases; Face; Face recognition; Feature extraction; Neural networks; Principal component analysis; Vectors; Face recognition; Linear discriminant analysis; Neural networks; Principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition and Image Analysis (PRIA), 2013 First Iranian Conference on
Conference_Location
Birjand
Print_ISBN
978-1-4673-6204-7
Type
conf
DOI
10.1109/PRIA.2013.6528431
Filename
6528431
Link To Document