Algorithm of face recognition by principal component analysis
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...
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| Language: | English |
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IIUM Press
2002
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| Online Access: | http://irep.iium.edu.my/5779/ http://irep.iium.edu.my/5779/1/ALGORITHM_OF_FACE_RECOGNITION_BY_PRINCIPAL_COMPONENT_ANALYSIS.pdf |
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iium-57792011-11-21T23:10:12Z http://irep.iium.edu.my/5779/ Algorithm of face recognition by principal component analysis Al-Khateeb, Khalid A. Saeed Yeop Johari, Jaiz Anuar T Technology (General) 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. IIUM Press 2002 Article PeerReviewed application/pdf en http://irep.iium.edu.my/5779/1/ALGORITHM_OF_FACE_RECOGNITION_BY_PRINCIPAL_COMPONENT_ANALYSIS.pdf 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 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Al-Khateeb, Khalid A. Saeed Yeop Johari, Jaiz Anuar Algorithm of face recognition by principal component analysis |
| description |
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. |
| format |
Article |
| author |
Al-Khateeb, Khalid A. Saeed Yeop Johari, Jaiz Anuar |
| author_facet |
Al-Khateeb, Khalid A. Saeed Yeop Johari, Jaiz Anuar |
| author_sort |
Al-Khateeb, Khalid A. Saeed |
| title |
Algorithm of face recognition by principal component analysis |
| title_short |
Algorithm of face recognition by principal component analysis |
| title_full |
Algorithm of face recognition by principal component analysis |
| title_fullStr |
Algorithm of face recognition by principal component analysis |
| title_full_unstemmed |
Algorithm of face recognition by principal component analysis |
| title_sort |
algorithm of face recognition by principal component analysis |
| publisher |
IIUM Press |
| publishDate |
2002 |
| url |
http://irep.iium.edu.my/5779/ http://irep.iium.edu.my/5779/1/ALGORITHM_OF_FACE_RECOGNITION_BY_PRINCIPAL_COMPONENT_ANALYSIS.pdf |
| first_indexed |
2023-09-18T20:14:33Z |
| last_indexed |
2023-09-18T20:14:33Z |
| _version_ |
1777407700453294080 |