Face Recognition using Artificial Intelligent Techniques

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,...

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Bibliographic Details
Published inAL-Rafidain journal of computer sciences and mathematics Vol. 6; no. 2; pp. 211 - 227
Main Authors Ibrahim, Laheeb, Saleh, Ibrahim
Format Journal Article
LanguageEnglish
Arabic
Published Mosul University 01.07.2009
Subjects
artificial intelligent techniques
face recognition
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Summary: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.
ISSN:2311-7990
1815-4816
2311-7990
DOI:10.33899/csmj.2009.163809