Latin Character Recognition using Neural Networks | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 11, Volume 4, Issue 2, December 2007, Pages 143-155 PDF (363.18 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2007.164022 | ||
| Authors | ||
| Jamal S. Majeed1; Aseel Ali2; Amar S. Majeed1 | ||
| 1College of Computer sciences and Mathematics University of Mosul | ||
| 2college of computer science and mathematics/Mosul of university | ||
| Abstract | ||
| The aim of this work is to recognize the printed Latin's characters. In this work two methods for constructing the feature space are used. These methods are Variance and Fractal dimension methods, as a result they have real values for every character in the Latin's language, and from these values they constructed the feature space extractions for every character in the Latin's language. After that, these features are given to the Back Propagation network for recognizing the characters. The result is a highest recognition for the characters is obtained, it is about 82.75% characters while the unrecognized characters are 17.25. | ||
| Keywords | ||
| Pattern recognitions; Bag propagation; feature extraction; Fractal Dimension | ||
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