Performance Evaluation and Comparison of Principal Component Analysis for Complex Images

Human Face recognition technique is widely used in many fields now a day. Different types of experiment were conducted on the human face and on the basis of those experiments various results and technologies were adopted or taken in the real life. Like; adhar card, driving license, police verification, pass port, bank identification proof each and every where demand photograph. adhar card connected voter id card because vote authentication is important issue in India.     

Many type of form in any exam is done on the basis of the photograph of the applicant. Hence the face images processing is quite useful for different purposes. In recent competitive exams like in engineering entrance exam or in medical entrance exams various frauds related to photograph of face were there in national news. Many types of things related to face identification are there like;

Watching the face from Front side, from right side, from left side, from diagonally, and watching the changes in the human face.

Normally we are recognized important things are there in the human face from which a human face can be authenticated: - in which feature (such as eyes,) from face image was located.

(a)Eye, (b) Eye Brows Nose (c) Lips (d) Forehead (e) Cheeks,(f) ears,(g) nose (h)mouth (i) Facial Expression are Changed.