An Efficient Face Recognition System Based on Sub-Window Extraction Algorithm
In this paper, an efficient face recognition system based on sub-window extraction algorithm and recognition based on Principal Component Analysis (PCA) and Back propagation algorithm is proposed. The authors' proposed method works on two phases: Extraction phase and Recognition phase. In extraction phase, face images are captured from different sources and then enhanced using filtering, clipping and histogram equalization. Enhanced images are converted into edge images using Sobel operator and then converted into binary images. Finally sub windows from extracted using proposed sub windows extraction algorithm and extract different features (mouth, eyes, nose etc.) from these sub windows.