Year: 2012
Type: article
Abstract: 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.
Source: IOSR Journal of Engineering
Author: A. HAJRAOUI
Institution: Université Sultan Moulay Slimane
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2074153754