Sinossi
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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Real Time Face Recognition System
Editore:
LAP Lambert Academic Publishing Aug 2016, 2016
ISBN 10: 3659923273
ISBN 13: 9783659923272
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783659923272
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Real Time Face Recognition System: Principle Component Analysis Algorithm
Editore:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659923273
ISBN 13: 9783659923272
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Paperback. Condizione: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock. Codice articolo 3659923273
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Real Time Face Recognition System
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659923273
ISBN 13: 9783659923272
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Da: moluna, Greven, Germania
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Condizione: 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. Codice articolo 159147715
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Real Time Face Recognition System
Editore:
LAP Lambert Academic Publishing Aug 2016, 2016
ISBN 10: 3659923273
ISBN 13: 9783659923272
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783659923272
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Real Time Face Recognition System : Principle Component Analysis Algorithm
Editore:
LAP Lambert Academic Publishing, 2016
ISBN 10: 3659923273
ISBN 13: 9783659923272
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783659923272
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Real Time Face Recognition System | Principle Component Analysis Algorithm
Editore:
LAP Lambert Academic Publishing, 2016
ISBN 10: 3659923273
ISBN 13: 9783659923272
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: 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. Codice articolo 103458126
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