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Neural Network based Face Recognition with Gabor Filters


Amina Khatun, Md. Al-Amin Bhuiyan


Vol. 11  No. 1  pp. 71-76


Gabor-based face representation has achieved enormous success in face recognition. This research addresses a hybrid neural network solution for face recognition trained with Gabor features. The system is commenced on convolving a face image with a series of Gabor filter coefficients at different scales and orientations. The neural network employed for face recognition is based on BAM for dimensional reduction and multi-layer perception with backpropagation algorithm for training the Gabor features. The effectiveness of the algorithm has been justified over a face database with images captured at different illumination conditions.


Gabor filter, rms contrast, neural network, BAM