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Textures Recognition using Elman Neural Network

    Authors

    • Fawziya Mahmood Ramo 1
    • Alaa Anwr Mohamed 2

    1 College of Computer Science and Mathematics University of Mosul, Mosul, Iraq

    2 College of computer science and mathematics University of Mosul, Iraq

,

Document Type : Research Paper

10.33899/csmj.2014.163741
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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.
 

Keywords

  • Pattern Recognition
  • neural network
  • feature extraction
  • Texture images
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AL-Rafidain Journal of Computer Sciences and Mathematics
Volume 11, Issue 1
June 2014
Page 97-108
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  • Article View: 151
  • PDF Download: 248

APA

Ramo, F., & Mohamed, A. (2014). Textures Recognition using Elman Neural Network. AL-Rafidain Journal of Computer Sciences and Mathematics, 11(1), 97-108. doi: 10.33899/csmj.2014.163741

MLA

Fawziya Mahmood Ramo; Alaa Anwr Mohamed. "Textures Recognition using Elman Neural Network". AL-Rafidain Journal of Computer Sciences and Mathematics, 11, 1, 2014, 97-108. doi: 10.33899/csmj.2014.163741

HARVARD

Ramo, F., Mohamed, A. (2014). 'Textures Recognition using Elman Neural Network', AL-Rafidain Journal of Computer Sciences and Mathematics, 11(1), pp. 97-108. doi: 10.33899/csmj.2014.163741

VANCOUVER

Ramo, F., Mohamed, A. Textures Recognition using Elman Neural Network. AL-Rafidain Journal of Computer Sciences and Mathematics, 2014; 11(1): 97-108. doi: 10.33899/csmj.2014.163741

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