A REVIEW ON ROBUST FACE DETECTION METHOD USING GABOR WAVELETS
|Puneet Kumar Goyal1, Mradul Jain1
Senior Assistant Professor, Dept. of CSE, ABESEC, Ghaziabad, Uttar Pradesh, India1
Associate. Professor, Dept. of CSE, ABESEC, Ghaziabad, Uttar Pradesh, India2
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This paper describes a face detection method using Artificial Neural Network (ANN) and Gabor filters. This method achieves rotation invariant and extremely high face detection rate using Gabor wavelets. Gabor filters have optimal localization properties in both spatial and frequency domain. By using these desirable characteristics, Gabor filters extract facial features from the local image. These extracted features work as the input to image classifier which is a Feed Forward Neural Network (FFNN).This network works on a reduced feature subspace learned by an approach simpler than principal component analysis (PCA). Face classification is currently implemented in software. This study gives an impression of Gabor filters in image processing and emphasis on its characteristics of spatial locality and orientation selectivity.