A hybrid face recognition technique as an anti-theft mechanism
This paper proposes an anti-theft mechanism uses biometric Face Recognition to identify thief along with alarming. This can be used as security for ATMs, airport's systems, medical records, identify customers, preventing fraud and providing VIP services as well as recognizing individuals with k...
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my.iium.irep.847822021-05-04T06:55:06Z http://irep.iium.edu.my/84782/ A hybrid face recognition technique as an anti-theft mechanism Khalifa, Othman Omran Kashil, Mohamed K. Hassan Abdalla Hashim, Aisha T Technology (General) This paper proposes an anti-theft mechanism uses biometric Face Recognition to identify thief along with alarming. This can be used as security for ATMs, airport's systems, medical records, identify customers, preventing fraud and providing VIP services as well as recognizing individuals with known shoplifting convictions and video surveillance. The proposed system based on Viola Jones algorithm, Wavelet transform and Principal Component Analysis. Experimental results are given to demonstrate the viability of the proposed face recognition system with achieved efficiency is 82%. Institute of Physics Publishing 2020-09-30 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/84782/1/A%20hybrid%20Face%20Recognition%20Technique%20as%20an%20Anti-Theft%20Mechanism.pdf application/pdf en http://irep.iium.edu.my/84782/9/IRTTEC2020%20-%20A%20hibride%20Face%20Recognition%20Techniques%20as%20an%20anti-Theft%20Mechanism%20.pdf application/pdf en http://irep.iium.edu.my/84782/14/84782_A%20hybrid%20face%20recognition%20technique%20as%20an%20anti-theft%20mechanism_SCOPUS.pdf Khalifa, Othman Omran and Kashil, Mohamed K. and Hassan Abdalla Hashim, Aisha (2020) A hybrid face recognition technique as an anti-theft mechanism. In: The 1st International Recent Trends in Technology, Engineering and Computing Conference 2020 (IRTTEC 2020), 30th September 2020, Kuala Lumpur, Malaysia. https://iopscience.iop.org/article/10.1088/1742-6596/1793/1/012052/pdf 10.1088/1742-6596/1793/1/012052 |
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T Technology (General) Khalifa, Othman Omran Kashil, Mohamed K. Hassan Abdalla Hashim, Aisha A hybrid face recognition technique as an anti-theft mechanism |
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This paper proposes an anti-theft mechanism uses biometric Face Recognition to identify thief along with alarming. This can be used as security for ATMs, airport's systems, medical records, identify customers, preventing fraud and providing VIP services as well as recognizing individuals with known shoplifting convictions and video surveillance. The proposed system based on Viola Jones algorithm, Wavelet transform and Principal Component Analysis. Experimental results are given to demonstrate the viability of the proposed face recognition system with achieved efficiency is 82%. |
format |
Conference or Workshop Item |
author |
Khalifa, Othman Omran Kashil, Mohamed K. Hassan Abdalla Hashim, Aisha |
author_facet |
Khalifa, Othman Omran Kashil, Mohamed K. Hassan Abdalla Hashim, Aisha |
author_sort |
Khalifa, Othman Omran |
title |
A hybrid face recognition technique as an anti-theft mechanism |
title_short |
A hybrid face recognition technique as an anti-theft mechanism |
title_full |
A hybrid face recognition technique as an anti-theft mechanism |
title_fullStr |
A hybrid face recognition technique as an anti-theft mechanism |
title_full_unstemmed |
A hybrid face recognition technique as an anti-theft mechanism |
title_sort |
hybrid face recognition technique as an anti-theft mechanism |
publisher |
Institute of Physics Publishing |
publishDate |
2020 |
url |
http://irep.iium.edu.my/84782/1/A%20hybrid%20Face%20Recognition%20Technique%20as%20an%20Anti-Theft%20Mechanism.pdf http://irep.iium.edu.my/84782/9/IRTTEC2020%20-%20A%20hibride%20Face%20Recognition%20Techniques%20as%20an%20anti-Theft%20Mechanism%20.pdf http://irep.iium.edu.my/84782/14/84782_A%20hybrid%20face%20recognition%20technique%20as%20an%20anti-theft%20mechanism_SCOPUS.pdf http://irep.iium.edu.my/84782/ https://iopscience.iop.org/article/10.1088/1742-6596/1793/1/012052/pdf |
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