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Synopsis
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.
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About the Author
Asrani Lit is a Research Scientist at Department of Electrical and Electronic in UNIMAS. Muhammad Shaah Fihee Misman is a Bachelor in Electronic Engineering (Computer) from Universiti Malaysia Sarawak (UNIMAS). Fariza Mahyan is a Research Scientist at Polytechnic of Kuching.
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Real Time Face Recognition System
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LAP Lambert Academic Publishing Aug 2016, 2016
ISBN 10: 3659923273
ISBN 13: 9783659923272
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 68 pp. Englisch. Seller Inventory # 9783659923272
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Real Time Face Recognition System : Principle Component Analysis Algorithm
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659923273
ISBN 13: 9783659923272
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783659923272
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Real Time Face Recognition System: Principle Component Analysis Algorithm
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659923273
ISBN 13: 9783659923272
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Paperback. Condition: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock. Seller Inventory # 3659923273
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Real Time Face Recognition System
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ISBN 13: 9783659923272
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lit AsraniAsrani Lit is a Research Scientist at Department of Electrical and Electronic in UNIMAS. Muhammad Shaah Fihee Misman is a Bachelor in Electronic Engineering (Computer) from Universiti Malaysia Sarawak (UNIMAS). Fariza Mahy. Seller Inventory # 159147715
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Real Time Face Recognition System
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LAP LAMBERT Academic Publishing Jul 2016, 2016
ISBN 10: 3659923273
ISBN 13: 9783659923272
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Seller Inventory # 9783659923272
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Real Time Face Recognition System | Principle Component Analysis Algorithm
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659923273
ISBN 13: 9783659923272
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Taschenbuch. Condition: Neu. Real Time Face Recognition System | Principle Component Analysis Algorithm | Asrani Lit (u. a.) | Taschenbuch | 68 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659923272 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 103458126