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%.
| Original language | English |
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| Pages | 120-124 |
| Number of pages | 5 |
| Publication status | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems - Brisbane, Aust Duration: 29 Nov 1994 → 2 Dec 1994 |
Conference
| Conference | Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems |
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| City | Brisbane, Aust |
| Period | 29/11/94 → 2/12/94 |