Face recognition based on singular valued decomposition and back progagation neural network
This paper presents a developed face recognition system. The method used singular valued decomposition as images feature extractor and back propagation neural networks as its classifier. The back propagation training parameters are varied in order to find the best parameter with the highest...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/5925/ http://irep.iium.edu.my/5925/1/04977212.pdf |
| _version_ | 1848776589304659968 |
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| author | Rasied, Thaahirah S. M. Khalifa, Othman Omran Kamarudin, Yuslina |
| author_facet | Rasied, Thaahirah S. M. Khalifa, Othman Omran Kamarudin, Yuslina |
| author_sort | Rasied, Thaahirah S. M. |
| building | IIUM Repository |
| collection | Online Access |
| description | This paper presents a developed face recognition
system. The method used singular valued decomposition as
images feature extractor and back propagation neural networks
as its classifier. The back propagation training parameters are
varied in order to find the best parameter with the highest
performance accuracy. The results from experiments have
showed that combinations of both methodologies give good
recognition rate and therefore considered as an effective face
recognition system. |
| first_indexed | 2025-11-14T14:32:29Z |
| format | Proceeding Paper |
| id | iium-5925 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:32:29Z |
| publishDate | 2005 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-59252012-04-03T08:10:15Z http://irep.iium.edu.my/5925/ Face recognition based on singular valued decomposition and back progagation neural network Rasied, Thaahirah S. M. Khalifa, Othman Omran Kamarudin, Yuslina T Technology (General) This paper presents a developed face recognition system. The method used singular valued decomposition as images feature extractor and back propagation neural networks as its classifier. The back propagation training parameters are varied in order to find the best parameter with the highest performance accuracy. The results from experiments have showed that combinations of both methodologies give good recognition rate and therefore considered as an effective face recognition system. 2005 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/5925/1/04977212.pdf Rasied, Thaahirah S. M. and Khalifa, Othman Omran and Kamarudin, Yuslina (2005) Face recognition based on singular valued decomposition and back progagation neural network. In: 1st International Conference on Computers, Communications, & Signal Processing with Special Track on Biomedical Engineering, 2005, (CCSP 2005), 14-16 November 2005. http://dx.doi.org/10.1109/CCSP.2005.4977212 doi:10.1109/CCSP.2005.4977212 |
| spellingShingle | T Technology (General) Rasied, Thaahirah S. M. Khalifa, Othman Omran Kamarudin, Yuslina Face recognition based on singular valued decomposition and back progagation neural network |
| title | Face recognition based on singular valued decomposition and back progagation neural network |
| title_full | Face recognition based on singular valued decomposition and back progagation neural network |
| title_fullStr | Face recognition based on singular valued decomposition and back progagation neural network |
| title_full_unstemmed | Face recognition based on singular valued decomposition and back progagation neural network |
| title_short | Face recognition based on singular valued decomposition and back progagation neural network |
| title_sort | face recognition based on singular valued decomposition and back progagation neural network |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/5925/ http://irep.iium.edu.my/5925/ http://irep.iium.edu.my/5925/ http://irep.iium.edu.my/5925/1/04977212.pdf |