Wednesday 24th of April 2024
 

2D Face Recognition System Based on Selected Gabor Filters and Linear Discriminant Analysis LDA


Samir F. Hafez, Mazen M. Selim and Hala H. Zayed

This paper presents a new approach for face recognition system. The method is based on 2D face image features using subset of non-correlated and Orthogonal Gabor Filters instead of using the whole Gabor Filter Bank, then compressing the output feature vector using Linear Discriminant Analysis (LDA). The face image has been enhanced using multi stage image processing technique to normalize it and compensate for illumination variation. Experimental results show that the proposed system is effective for both dimension reduction and good recognition performance when compared to the complete Gabor filter bank. The system has been tested using CASIA, ORL and Cropped YaleB 2D face images Databases and achieved average recognition rate of 98.9 %.

Keywords: Face Recognition, Preprocessing, PCA, LDA

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ABOUT THE AUTHORS

Samir F. Hafez
Samir F. Hafez received the BSc in Electrical Engineering (with honor degree) in 1996 from Zagazig University (Benha Branch) and the MSc in 2006 from Benha University in Electrical and Communication Engineering

Mazen M. Selim
Mazen M. Selim received the BSc in Electrical Engineering in 1982, the MSc in 1987 and PhD in 1993 from Zagazig University (Benha Branch) in electrical and communication engineering. He is now an Associate Professor at the faculty of computers and informatics, Benha University. His areas of interest are image processing, biometrics, sign language, content based image retrieval (CBIR), face recognition and watermarking.

Hala H. Zayed
Hala H. Zayed received the BSc in Electrical Engineering (with honor degree) in 1985, the MSc in 1989 and PhD in 1995 from Zagazig University (Benha Branch) in electrical and communication engineering. She is now a professor at faculty of computers and informatics, Benha University. Her areas of research are pattern recognition, content based image retrieval, biometrics and image processing.


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