A hybrid face recognition technique as an anti-theft mechanism

• Main Authors: Khalifa, Othman Omran, Kashil, Mohamed K., Hassan Abdalla Hashim, Aisha
• Format: Conference or Workshop Item
• Language: English; English; English
• Published: Institute of Physics Publishing 2020
• Subjects: T Technology (General)
• Online Access: 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

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%.