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Real Time Face Recognition System: Principle Component Analysis Algorithm - Muhammad Shaah Fihee Misman,Fariza Mahyan,Asrani Lit

Anglų
2016-07-28
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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 b ... Visas aprašymas

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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.

Daugiau informacijos

Autorius Muhammad Shaah Fihee Misman, Fariza Mahyan, Asrani Lit
Leidėjas LAP Lambert Academic Publishing
Išleidimo metai 2016
Viršelio tipas Minkšti viršeliai
EAN 9783659923272
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38,76 € 51,68 €