Vol. 1, Issue 10, Part J (2015)

Abstract
Recognizing Human faces from images taken by digital camera is a challenging task because these faces are usually still and corrupted by various noises and blurring effects. The performance of face recognition system collapse significantly when blurred effect on faces. In this paper we present a novel method for image restoration and use the restored image as a input to the two layer feed forward artificial neural network. The performance validations, Gradients and learning rate of NN finds effective neural network solution for the recognition of the blur face by setting various parameters.