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