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

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Conference Proceeding

Source Title

IEEE TENSYMP 2014 - 2014 IEEE Region 10 Symposium

First Page

672

Last Page

676

Publication Date

7-23-2014

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. © 2014 IEEE.

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Digitial Object Identifier (DOI)

10.1109/tenconspring.2014.6863118

Disciplines

Electrical and Computer Engineering

Keywords

Human face recognition (Computer science); Image processing—Digital techniques; Neural networks (Computer science)

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