Eigen Faces and Principle Component Analysis for Face Recognition Systems: A Comparative Study
نویسندگان
چکیده
5650 | P a g e 2 8 F e b r u a r y , 2 0 1 5 Eigen Faces and Principle Component Analysis for Face Recognition Systems: A Comparative Study Abdelfatah Aref Tamimi, Omaima N. A. AL-Allaf, Mohammad A. Alia 1 Associate Professor, Dept. of CS, Faculty of Sciences & IT, Al-Zaytoonah University of Jordan, Amman, Jordan, email: [email protected] 2 Assistant Professor, Dept. of Basic Sciences, Faculty of Sciences & IT, Al-Zaytoonah University of Jordan, Amman, Jordan, email:[email protected] 3 Associate Professor, Dept. of CIS, Faculty of Sciences & IT, Al-Zaytoonah University of Jordan, Amman, Jordan, email: dr.m.alia@ zuj.edu.jo ABSTRACT
منابع مشابه
Face Detection at the Low Light Environments
Today, with the advancement of technology, the use of tools for extracting information from video are much wider in terms of both visual power and the processing power. High-speed car, perfect detection accuracy, business diversity in the fields of medical, home appliances, smart cars, humanoid robots, military systems and the commercialization makes these systems cost effective. Among the most...
متن کاملHybridization of Facial Features and Use of Multi Modal Information for 3D Face Recognition
Despite of achieving good performance in controlled environment, the conventional 3D face recognition systems still encounter problems in handling the large variations in lighting conditions, facial expression and head pose The humans use the hybrid approach to recognize faces and therefore in this proposed method the human face recognition ability is incorporated by combining global and local ...
متن کاملImplementation of Face Recognition Algorithm on Fields Programmable Gate Array Card
The evolution of today's application technologies requires a certain level of robustness, reliability and ease of integration. We choose the Fields Programmable Gate Array (FPGA) hardware description language to implement the facial recognition algorithm based on "Eigen faces" using Principal Component Analysis. In this paper, we first present an overview of the PCA used for facial recognition,...
متن کاملPCA Based Face Recognition and Facial Expression Identification System
The face is our primary focus of attention in social intercourse, playing a major role in conveying identity and emotion. We can recognize thousands of faces learned throughout our lifetime and identify familiar faces at a glance even after years of separation. This skill is quite robust, despite large changes in the visual stimulus due to viewing conditions, expression, aging, and distractions...
متن کاملFace Recognition Using Neural Network with Pca–mbp Algorithm
In this paper, a face recognition system for personal identification and verification using Principal Component Analysis (PCA) with Modified Back Propagation Neural Networks (MBPNN) is proposed. The dimensionality of face image is reduced by the PCA and the recognition is done by the MBPNN. The system consists of a database of a set of facial patterns for each individual. The characteristic fea...
متن کامل