Face Detection by Fine Tuning the Gabor Filter Parameter
Face detection technique recognition is developed by using and fine tuning the Gabor Wavelet parameters. An extensive study of these parameters have been made and checked on a large acquired data set of face images, for extracting the features. The Facial data consists of 320 frontal face 180 non-face images. (Total=500 images) Artificial Neural Network is then used on the extracted features for training. An effect of pixels size of the face on the image was studied. A strong correlation between the pixels size of the Face and the Scaling parameter of Gabor filter was observed.