Title :
PCA applied to neural internal representation of input data - application to face recognition
Author_Institution :
Dept. of Telecommun., Slovak Univ. of Technol., Bratislava, Slovakia
fDate :
6/24/1905 12:00:00 AM
Abstract :
An original method of feature extraction from image data is introduced using MLP (multilayer perceptron) and PCA (principal component analysis). This method is used in a human face recognition system and results are compared to a face recognition system using PCA directly and to a system with direct classification of input images by MLP.
Keywords :
"Principal component analysis","Face recognition","Multilayer perceptrons","Eigenvalues and eigenfunctions","Neurons","Feature extraction","Image databases","Testing","Neural networks","Information technology"
Conference_Titel :
Video/Image Processing and Multimedia Communications 4th EURASIP-IEEE Region 8 International Symposium on VIPromCom
Print_ISBN :
953-7044-01-7
DOI :
10.1109/VIPROM.2002.1026629
