Daramola, S. A. and Odeghe, O. Sandra (2012) Efficient Face Recognition System using Artificial Neural Network. International Journal of Computer Applications, 41 (21). pp. 13-15. ISSN 0975 – 8887
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Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Eigenface, Haar Wavelet Transform and Neural Network. |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Law, Arts and Social Sciences > School of Social Sciences |
| Depositing User: | Mrs Hannah Akinwumi |
| Date Deposited: | 02 Mar 2016 15:40 |
| Last Modified: | 02 Mar 2016 15:40 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/6329 |
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