Face recognition using neural network : final report
Nicholas Cudjoe · Skemman · 2008
This document presents how a face recognition system can be designed with artificial neural network. Face recognition involves mapping of the images of a person’s face to the identity of that person. I have implemented a neural network that uses a back-propagation algorithm to recognize and classify four aspects of image of a person’s face. These include the identity of the person, the expression of the person in the image, the orientation of the face in the image and whether the person sports sunglasses. The final results was a MatLab built software application with an images provided by Dr. Tom Mitchell and utilizes the features of the images of the people taken with varying pose (straight, left, right, up) expressions (neutral, happy, sad, angry) eyes, i.e. wearing sunglasses or not and resolution. The structure of the final software application is illustrated. Furthermore, the results of its performance are illustrated by a detailed example. Keywords: Face recognition, Artificial Neural Network, MatLab