Face Recognition using Symmetric Local Graph Structure

Biometrics is the process of making use of physical, biological and behavioral traits for identification purposes. Biometrics finds applications in wide variety of fields such as security, access control, and military. Among the various kinds of biometrics, face biometrics is one among the fast growing biometrics due to its flexibility in usage and easy availability of equipments. This work is focused on the area of face biometrics, which incorporates the concept of image processing along with it. The proposed work is aimed to determine the recognition accuracy of face recognition technique and compare its accuracy with existing techniques and also addresses the problems related to facial details, illumination and facial expressions in face recognition. This work shows the higher and gradual increase in accuracy of face recognition and enables to implement wide variety of applications in computer vision using standard face databases.