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AL-Rafidain Journal of Computer Sciences and Mathematics

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Face Recognition using Artificial Intelligent Techniques

    Laheeb Mohammad Ibrahim Ibrahim A. Saleh

AL-Rafidain Journal of Computer Sciences and Mathematics, 2009, Volume 6, Issue 2, Pages 211-227
10.33899/csmj.2009.163809

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Abstract

Face recognition is considered one of the visual tasks which humans can do almost effortlessly while for computers it is a difficult and challenging task. This research deals with the problem of face recognition. A novel approach is presented for both face feature extraction and recognition, first, we introduce Principal Component Analysis (PCA) for face feature extraction, Generalized Regression Artificial Neural network for face recognition. The performance of the whole system was done after training with 120 color images (40 human faces with 3 poses) and testing using 40 color images. The images were taken from Collection of Facial Images: Faces95 by Computer Vision Science Research Projects. Experimental results for proposed human face recognition confirm that the proposed method lends itself to good extraction and classification accuracy relative to existing techniques.
 
Keywords:
    Face Recognition Artificial Intelligent techniques
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(2009). Face Recognition using Artificial Intelligent Techniques. AL-Rafidain Journal of Computer Sciences and Mathematics, 6(2), 211-227. doi: 10.33899/csmj.2009.163809
Laheeb Mohammad Ibrahim; Ibrahim A. Saleh. "Face Recognition using Artificial Intelligent Techniques". AL-Rafidain Journal of Computer Sciences and Mathematics, 6, 2, 2009, 211-227. doi: 10.33899/csmj.2009.163809
(2009). 'Face Recognition using Artificial Intelligent Techniques', AL-Rafidain Journal of Computer Sciences and Mathematics, 6(2), pp. 211-227. doi: 10.33899/csmj.2009.163809
Face Recognition using Artificial Intelligent Techniques. AL-Rafidain Journal of Computer Sciences and Mathematics, 2009; 6(2): 211-227. doi: 10.33899/csmj.2009.163809
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