Face Recognition And Description System using Principal Component Analysis

Humans have spatial as well as temporal memory. Our visual sensors perceive the data and transmit it over neurons so that we could remember it. Although what we perceive has some memory bound and happen to obliterate over time. We often distinguish a person by his/her features. As our glance projects to human face, we separate people by genders, eyes, expressions, facial muscles etc. A system, thus, can be implemented to recognize people from one another. The image sent to the system is human face and hence driven through series of tests consisting threshold calculation, histogram plotting, error introduction. The proposed system increases the efficiency to get the information of a human face whose record is already available. The image then compared with the one stored in database and hence described upon the suitable match. Such system with an inclination towards higher accuracy may yield great opportunities in the yield of criminal detection, airport security system, face recognition vaults, attendance system.