An Enhanced Face Recognition Technique Based on Overlapped Modular PCA Approach for Cropped Log-Polar Images

An algorithm for human face recognition, which is based on Overlapped Modular Principal Component Analysis Approach on the Cropped Log-polar images, is presented in this paper. In this technique all the image are divided into sub-images called modules and to avoid loss of features at division lines, overlapped sub-images are taken through the division lines. This method is applied on the Cropped Log-polar images. In this method all the images are converted into log-polar form and from all those transformed images only the facial areas are extracted and they are called as cropped log-polar images.