Textures Recognition using Elman Neural Network | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 15, Volume 11, Issue 1, June 2014, Pages 97-108 PDF (955.76 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2014.163741 | ||
| Authors | ||
| Fawziya Mahmood Ramo1; Alaa Anwr Mohamed2 | ||
| 1College of Computer Science and Mathematics University of Mosul, Mosul, Iraq | ||
| 2College of computer science and mathematics University of Mosul, Iraq | ||
| 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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