Eigen Faces and Principle Component Analysis for Face Recognition Systems: A Comparative Study
نویسندگان
چکیده
منابع مشابه
Eigen Faces and Principle Component Analysis for Face Recognition Systems: A Comparative Study
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, Facult...
متن کاملFace Recognition Using Eigen face Coefficients and Principal Component Analysis
Face Recognition is a field of multidimensional applications. A lot of work has been done, extensively on the most of details related to face recognition. This idea of face recognition using PCA is one of them. In this paper the PCA features for Feature extraction are used and matching is done for the face under consideration with the test image using Eigen face coefficients. The crux of the wo...
متن کاملImproved Face Recognition Algorithm Using Eigen Faces
Face recognition is one of the major challenge and is the most popular research areas in the computer vision. The research is focused to develop the computational model of face recognition that is fast, simple and accurate in different environments. In this study, we develop an improved recognition strategy based computational model to identify the face of an unknown person. The proposed comput...
متن کاملFace Recognition using Principle Component Analysis
The Principal Component Analysis (PCA) is one of the most successful techniques that have been used in image recognition and compression. PCA is a statistical method under the broad title of factor analysis. The purpose of PCA is to reduce the large dimensionality of the data space (observed variables) to the smaller intrinsic dimensionality of feature space (independent variables), which are n...
متن کاملRobust Face Recognition Using Eigen Faces and Karhunen-Loeve Algorithm
The current research paper is an implementation of Eigen Faces and Karhunen-Loeve Algorithm for face recognition. The designed program works in a manner where a unique identification number is given to each face under trial. These faces are kept in a database from where any particular face can be matched and found out of the available test faces. The Karhunen –Loeve Algorithm has been implement...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
سال: 2015
ISSN: 2277-3061,2277-3061
DOI: 10.24297/ijct.v14i4.1967