Multiple views face recognition has become significant in various requisitions, such as observation, human workstation connection, and recreation. A reduction based feature extraction and neural network inspired by biological neurons for learning and recognizing the multiple views faces of the person has been presented in this paper. Neural Network (NN) is significant in the places where formulating an algorithmic solution is difficult and we need to retrieve the structure from existing and predefined data. Multi-view face recognition is required here because its more feasible and reliable than single view face recognition.
