Simultaneous face detection and recognition using Viola-Jones algorithm and artificial neural networks for identity verification

• Main Authors: Fernandez, Ma Christina D., Gob, Kristina Joyce E., Leonidas, Aubrey Rose M., Ravara, Ron Jason J., Bandala, Argel A., Dadios, Elmer P.
• 格式: text
• 出版: Animo Repository 2014
• 主題: Human face recognition (Computer science); Image processing—Digital techniques; Neural networks (Computer science); Electrical and Computer Engineering
• 在線閱讀: https://animorepository.dlsu.edu.ph/faculty_research/1934
• 機構: De La Salle University

The study presented aims to design and develop a face recognition system. The system utilized Viola Jones Algorithm in detecting faces from a given image. Also the system used Artificial Neural Networks in recognizing faces detected from the input. Upon experimentation the system generated can recognize human faces with accuracy of 87.05%. The system performs at its best if the person is around 150cm away from the camera with an accuracy rate of 87.59%. Also, the best amount of lighting for the recognition system is at 480 lumens with an accuracy rate of 88.64%. Lastly, the system also performs at its best if the person is directly facing the camera or at 0 degrees with respect to the camera. © 2014 IEEE.