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Algorithm of face recognition by principal component analysis

Al-Khateeb, Khalid A. Saeed and Yeop Johari, Jaiz Anuar (2002) Algorithm of face recognition by principal component analysis. IIUM Engineering Journal, 3 (2). pp. 33-43. ISSN 1511-788X

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A face recognition algorithm based on Principal Component Analysis (PCA) has been developed and tested for computer vision applications. A database of about 400 facial images was used to test the algorithm. Each image is represented by a matrix (112x 92). The database is divided into subsets, where each subset represents one of 10 different individuals. A 96% rate of successful detection and a 90% rate of successful recognition were obtained. Several factors had to be standardized to provide a constrained environment in order to reduce error. The analysis is based on a set of eigenvectors that defines an Eigen Face (EF). The method proved to be simple and effective. The simplified algorithm and techniques expected the process without seriously compromising the accuracy.

Item Type: Article (Journal)
Additional Information: 3575/5779
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr. Khalid A. S. Al-Khateeb
Date Deposited: 30 Oct 2011 15:33
Last Modified: 22 Nov 2011 07:10
URI: http://irep.iium.edu.my/id/eprint/5779

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