Human Face Recognition Using Superior Principal Component Analysis (SPCA)

Principal Component Analysis (PCA) is a statistical technique used for dimension reduction and recognition, & widely used for facial feature extraction and recognition. In this paper, a cluster based SPCA face recognition method has been proposed. Experiments based on ORL face database have performed to compare the recognition rate between tradition PCA, Advanced Principal Component Analysis (APCA), & SPCA. It is found that SPCA is giving the best classification result. Face recognition has been studied extensively for more than 40 years. Now it is one of the most imperative sub-topics in the domain of face research. Face recognition is a technology which recognize the human by his/her face image. Face recognition can be divided into two core approaches namely, content-based and appearance based.