Face Recognition System is an advanced application to detect and identify the faces from images, live recordings, videos, etc. This feature helps in various. Facial Recognition System is a modern technology through which any face can be detected and matched with the digital image of the image databases.

The relevance of facial recognition system solely depends upon the large availability of the image, image quality and age of the human. The important feature of facial recognition system is used to identify the person for various purpose like authentication, authorization etc.

The main feature of facial recognition system is to identify the unknown faces from the known bunch and implement various applications like alert, threat intelligence etc. Following are the key features that are involved in this application.

Salient Features:

·       Civil aviation and law enforcement

·       National ID, passport, driver’s license, border control.

·       Surveillance of Public Places like Banks, Jewellery Shops, Malls.

·       Criminal detection and Identification

·       Attendance System

·       Forensic applications

Security applications for electronic transactions and access control

•         Public Access.

•         Secure access to networks and infrastructures

•         e-health, e-commerce, e-banking

•         Ambient Intelligence

•         Smart homes.

•         Natural human-machine interaction

The human visual system starts with a preference for face-like patterns. The human visual system devotes special neural mechanisms for face perception. Facial features are processed holistically. Among facial features like eyes, eyebrows, lips, nose are important for recognition.

Humans can recognize faces in very low dimensional images. Tolerance to image degradation increases with familiarity. Colour and texture are as important as shape.

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