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System for arabic character recognition

Conference Paper


Abstract


  • In this paper, a method for automatic recognition of isolated characters is presented. In this system, the character matrix is circularly scanned, and the number of ON pixels around each circle is obtained and saved in a vector. A feedforward Neural Network is trained by backpropagation to recognize these vectors. In this method, even when the character is rotated around its centroid, or shifted within the matrix, it can still be recognized. The recognition rate with some noise and random rotations for isolated Arabic and Persian characters is about 91%.

Publication Date


  • 1994

Citation


  • Hosseini, H. M. M., & Bouzerdoum, A. (1994). System for arabic character recognition. In Australian and New Zealand Conference on Intelligent Information Systems - Proceedings (pp. 120-124).

Scopus Eid


  • 2-s2.0-0028746360

Web Of Science Accession Number


Start Page


  • 120

End Page


  • 124

Abstract


  • In this paper, a method for automatic recognition of isolated characters is presented. In this system, the character matrix is circularly scanned, and the number of ON pixels around each circle is obtained and saved in a vector. A feedforward Neural Network is trained by backpropagation to recognize these vectors. In this method, even when the character is rotated around its centroid, or shifted within the matrix, it can still be recognized. The recognition rate with some noise and random rotations for isolated Arabic and Persian characters is about 91%.

Publication Date


  • 1994

Citation


  • Hosseini, H. M. M., & Bouzerdoum, A. (1994). System for arabic character recognition. In Australian and New Zealand Conference on Intelligent Information Systems - Proceedings (pp. 120-124).

Scopus Eid


  • 2-s2.0-0028746360

Web Of Science Accession Number


Start Page


  • 120

End Page


  • 124