Efficient Face Recognition System using Artificial Neural Network

Effective facial feature is needed to build a robust face recognition system capable of suppress the effect of illumination and pose variation. In this paper, a robust face recognition system is proposed. In the proposed system, two level haar wavelet transform is used to decompose frontal face imag...

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Published in:International journal of computer applications 2012-01, Vol.41 (21), p.12-15
Main Authors: Daramola, S Adebayo, Odeghe, O Sandra
Format: Article
Language:English
Subjects:
Artificial neural networks
Back propagation
Bands
Construction
Face recognition
Illumination
Neural networks
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creator Daramola, S Adebayo
Odeghe, O Sandra
description Effective facial feature is needed to build a robust face recognition system capable of suppress the effect of illumination and pose variation. In this paper, a robust face recognition system is proposed. In the proposed system, two level haar wavelet transform is used to decompose frontal face image into seven sub-image bands. Thereafter eigenface feature is extracted from these bands. The feature is used as input to the classification algorithm based on Back Propagation Neural Network (BPNN). The proposed system has been tested using 150 frontal face samples with illumination and pose variation. The results obtained are very encouraging.
doi_str_mv 10.5120/5823-8042
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subjects Artificial neural networks
Back propagation
Bands
Construction
Face recognition
Illumination
Neural networks
title Efficient Face Recognition System using Artificial Neural Network
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