Real Time Face Recognition System : Principle Component Analysis Algorithm
Face recognition has received substantial attention from public around the world. The interest from the general public is mostly due to the recent events of terror around the world, which has increased the demand for useful security systems. In this project, Principle Component Analysis (PCA) act as...
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LAP LAMBERT Academic Publishing (July 28, 2016)
2016
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my.unimas.ir.416642023-11-15T08:31:18Z http://ir.unimas.my/id/eprint/41664/ Real Time Face Recognition System : Principle Component Analysis Algorithm Asrani, Lit Muhammad Shaah Fihee, Misman Fariza, Mahyan QA75 Electronic computers. Computer science Face recognition has received substantial attention from public around the world. The interest from the general public is mostly due to the recent events of terror around the world, which has increased the demand for useful security systems. In this project, Principle Component Analysis (PCA) act as efficient method to develop face recognition system. Images captured from real-time video had been analyzed by compared an input image with the database and report the image if similar. Different appearances by each person which is normal face, using spectacles, wearing cap and wearing mask was tested to determine the performance of the system. Twenty (20) persons were involved as experimental case studies to validate the efficiency of the developed system. Experimental results show 100% recognition for normal face and using spectacles, 95% of wearing cap and 45% of wearing mask. LAP LAMBERT Academic Publishing (July 28, 2016) 2016 Book PeerReviewed text en http://ir.unimas.my/id/eprint/41664/1/Real%20Time%20Face%20Recog.pdf Asrani, Lit and Muhammad Shaah Fihee, Misman and Fariza, Mahyan (2016) Real Time Face Recognition System : Principle Component Analysis Algorithm. LAP LAMBERT Academic Publishing (July 28, 2016). ISBN 978-3659923272 |
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QA75 Electronic computers. Computer science Asrani, Lit Muhammad Shaah Fihee, Misman Fariza, Mahyan Real Time Face Recognition System : Principle Component Analysis Algorithm |
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Face recognition has received substantial attention from public around the world. The interest from the general public is mostly due to the recent events of terror around the world, which has increased the demand for useful security systems. In this project, Principle Component Analysis (PCA) act as efficient method to develop face recognition system. Images captured from real-time video had been analyzed by compared an input image with the database and report the image if similar. Different appearances by each person which is normal face, using spectacles, wearing cap and wearing mask was tested to determine the performance of the system. Twenty (20) persons were involved as experimental case studies to validate the efficiency of the developed system. Experimental results show 100% recognition for normal face and using spectacles, 95% of wearing cap and 45% of wearing mask. |
format |
Book |
author |
Asrani, Lit Muhammad Shaah Fihee, Misman Fariza, Mahyan |
author_facet |
Asrani, Lit Muhammad Shaah Fihee, Misman Fariza, Mahyan |
author_sort |
Asrani, Lit |
title |
Real Time Face Recognition System : Principle Component Analysis Algorithm |
title_short |
Real Time Face Recognition System : Principle Component Analysis Algorithm |
title_full |
Real Time Face Recognition System : Principle Component Analysis Algorithm |
title_fullStr |
Real Time Face Recognition System : Principle Component Analysis Algorithm |
title_full_unstemmed |
Real Time Face Recognition System : Principle Component Analysis Algorithm |
title_sort |
real time face recognition system : principle component analysis algorithm |
publisher |
LAP LAMBERT Academic Publishing (July 28, 2016) |
publishDate |
2016 |
url |
http://ir.unimas.my/id/eprint/41664/1/Real%20Time%20Face%20Recog.pdf http://ir.unimas.my/id/eprint/41664/ |
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