INVESTIGATING FACE RECOGNITION Techniques for PCA AND BPNN

Abstract

Image processing plays an important role in analyzing the images. Face recognition is one of the interesting research areas in past many years. The reason behind this is its numerous ranges of applications like information security, law enforcement, access control, and smart cards etc. It is gaining so much attention in public due to network access via multimedia. The study shows that recognition system using PCA and BPNN provides high recognition rate and fast execution time. PCA is used for feature extraction and space dimension reduction. BPNN is used for image classifications. Recognition rate and execution time are two main parameters, which are measured during implementation of PCA and (PCA+BPNN).This paper focuses on highlighting the strengths and limitations of the earlier proposed classification techniques. The paper provides an insight into the reviewed literature to reveal new aspects of research in the field of image processing.