Introduction to Face Recognition

Face Recognition is a computer technology for identifying and verifying a person from a digital image or a video frame from a video source. It emerged as a latest technology in Biometrics to provide an effective solution to address various requirements for identifying and verifying identity claims. Face Recognition is done by comparing the selected facial features from an image and the facial database.

There are various algorithms used for the face recognition which identify faces by extracting the features from the subject's face. The main features which are compared are the size and shape of eyes, nose, cheekbones and jaw, and relative positions of eyes, nose and mouth. These features are extracted and stored. Then the same are compared with the featuers of an image stored in the database. In various face recognition applications, an IRIS scanning camera is used to detect the iris of the subject. After snapping a picture of the iris, the various features like color, shape and size of the iris is extracted.

Considering the current development and employment, Face recognition seems to be a very bright future in upcoming years. Although the current face recognition algorithm fails under the vastly varying situations. But we can hope the next generation person recognition system will implement the face recognition technology effectively.

For Detailed article read the Face Recognition Article on Engineers Garage