PDF

Keywords

Pattern Recognition
neural network
feature extraction
Texture images

Abstract

         In this research building system to recognition  texture images using artificial neural networks. The system consists of two phases: phase extraction important feature of each texture by using an algorithm Principal Components Analysis (PCA)   and recognition phase which recognize these feature by using  Elman network were trained network on a number of various texture  models down to the steady-state network  and then test the network by input  samples  of textures.  The experiments show that the method achieves high performance and produces 92% recognition rate.  
https://doi.org/10.33899/csmj.2014.163741
  PDF