Textures Recognition using Elman Neural Network

Textures Recognition using Elman Neural Network

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 u...

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Bibliographic Details
Published in:AL-Rafidain journal of computer sciences and mathematics Vol. 11; no. 1; pp. 97 - 108
Main Authors: Fawziya Ramo, Alaa Mohamed
Format: Journal Article
Language:Arabic
Published: Mosul University 01-07-2014
Subjects:
feature extraction
neural network
pattern recognition
texture images
Online Access:Get full text
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Description
Summary: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.
ISSN:1815-4816
2311-7990
DOI:10.33899/csmj.2014.163741