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: | Conference or Workshop Item |
| Language: | English |
| Published: |
2005
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| Subjects: | |
| Online Access: | 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 |
| Summary: | 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. |
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