Comparison between Radial Basis and Backpropagation Neural Network in Face Detection

Abstract

Computer vision is a computer science field belonging to artificial intelligence. The purpose of this branch is allowing computers to understand the physical world .This document proposes comparison between two types of an artificial neural network based face detection system .The proposed system consists of two subsystems ,first subsystem is face detection depending on radial basis neural network after some preprocessing operations, the second subsystem uses backpropagtion neural net to classify the image if it is face or not, also after some preprocessing operations .The final step is comparison between two subsystems in the final step