Performance Evaluation of Neural Networks for Shape Identification in Image Processing

Abstract

The emergence of artificial neural networks in image processing has led to improvements in shape recognition. We can analyze text and various geometrical shapes in image where image is represented in gray level. We trained the neural network to identify a particular shape in image. Recently Artificial Neural Network (ANN), Fuzzy Logic and Genetic Algorithm have been employed to assist the diagnosis task and to interpret the shape recognition. The first goal of this paper is to apply neural network. The second goal of this paper is to utilize neural network approaches to and compare various algorithms. We have used a NN to identify the Shape Recognition in Image Processing. This paper presents the simulation results in analyzing the shape and comparison of various algorithms in predicting the shape and its error performance are reviewed.