Faceopedia - High Speed Face Recognition Using DCT RBF Neural Network

Abstract

The paper titled "FACEOPEDIA"- A High speed face recognition system using DCT RBF Neural Network is designed to identify the face. There are number of algorithm proposed to do the task of face recognition. The face recognition is one of the most trending and new research area where several research activities are taking place. The face is composed of a complex structure; it varies from person to person. There are several applications regarding the face recognition, they are: attendance system, door opening system, authentication system etc. In this project we are using Discrete Cosine Transform (DCT) algorithm along with the Radial Basis Function Neural network. The neural network is needed to identify the complex facial architecture present in the face. The DCT will reduce the dimension and also extracts the essential features of the face.