Survey of Facial Recognition Security System

Amrutha Ajayakumar, Purnima Mathew

Abstract: In recent time, the demand for biometric security framework has ascended because of a wide scope of surveillance, access control and law enforcement applications. Among the different biometric security frameworks based on fingerprint, iris, voice or speech, face recognition is easy accessible, nonintrusive and most general framework. Face recognition has been a flourishing and exigent area in real time applications. Face recognition at real time is a part of the field of biometrics. In last few decades, a wide variety of face recognition techniques have been come into existence. Facial recognition technology is essentially utilized in areas including network security, content ordering and recovery and video compression. This paper attempts to made contemporary review of vital facial recognition techniques that have been used for security system.

Keywords: Principal Component Analysis, Linear Discriminant Analysis, Independent Component Analysis, Neural Networks