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
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;
Conference_Titel :
Pattern Recognition and Image Analysis (PRIA), 2013 First Iranian Conference on
Conference_Location :
Birjand
Print_ISBN :
978-1-4673-6204-7
DOI :
10.1109/PRIA.2013.6528431
