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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Main Authors: Asrani, Lit, Muhammad Shaah Fihee, Misman, Fariza, Mahyan
Format: Book
Language:English
Published: LAP LAMBERT Academic Publishing (July 28, 2016) 2016
Subjects:
Online Access:http://ir.unimas.my/id/eprint/41664/1/Real%20Time%20Face%20Recog.pdf
http://ir.unimas.my/id/eprint/41664/
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Institution: Universiti Malaysia Sarawak
Language: English
id my.unimas.ir.41664
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spelling 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
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Asrani, Lit
Muhammad Shaah Fihee, Misman
Fariza, Mahyan
Real Time Face Recognition System : Principle Component Analysis Algorithm
description 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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