A new approach for Face Recognition Based on PCA & Double LDA Treatment combined with SVM
Abdellatif Hajraoui · IOSR Journal of Engineering · 2012
In this paper we propose a faces recognition system.This system does not directly reproduce human vision on machine, but it seeks to find algorithms to achieve similar results by identifying a person using 2D image of his face.The descriptors used for features extraction, combine two algorithms: Principal Component Analysis (PCA) and a double Linear Discriminate Analysis (LDA) treatment.We chose the Support Vector Machine as an output classifier.Our approach has ensured a satisfactory recognition rate and a gain in terms of memory.