Sinopsis
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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Reseña del editor
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.
Biografía del autor
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. Condición: 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. Nº de ref. del artículo: 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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Real Time Face Recognition System
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ISBN 13: 9783659923272
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Condición: 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. Nº de ref. del artículo: 159147715
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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. Condición: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Nº de ref. del artículo: 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
Nuevo
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 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. Condición: 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: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Nº de ref. del artículo: 103458126
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