Abstract
Different statistical methods for face recognition have been proposed in recent years. They mostly differ in the type of projection and distance measure used. The aim of this paper is to effectively identify a frontal human face with better recognition rate using appearance-based statistical method for Face Recognition. We used Median instead of mean and with different distance measures like city block, Euclidean and Chess board. Our approach produces better recognition rate when more complex images are used. Our experimental result shows that Median with City block distance measure gives better results for face recognition.