DocumentCode :
190164
Title :
Simultaneous face detection and recognition using Viola-Jones Algorithm and Artificial Neural Networks for identity verification
Author :
Fernandez, Ma Christina D. ; Gob, Kristina Joyce E. ; Leonidas, Aubrey Rose M. ; Ravara, Ron Jason J. ; Bandala, Argel A. ; Dadios, Elmer P.
Author_Institution :
Dept. of Comput. Sci., Polytech. Univ. of the Philippines, Manila, Philippines
fYear :
2014
fDate :
14-16 April 2014
Firstpage :
672
Lastpage :
676
Abstract :
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.
Keywords :
face recognition; neural nets; ANN; Viola-Jones algorithm; artificial neural networks; face detection; face recognition system; identity verification; Accuracy; Artificial neural networks; Cameras; Face; Face recognition; Feature extraction; Image color analysis; Artificial Neural Networks; Face Detection; Face Recognition; Image Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Region 10 Symposium, 2014 IEEE
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-2028-0
Type :
conf
DOI :
10.1109/TENCONSpring.2014.6863118
Filename :
6863118
Link To Document :
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