Neha, Gautam and Chai, Soo See (2019) Zig-zag diagonal and ANN for English character recognition. International Journal of Advanced Trends in Computer Science and Engineering, 8 (1.4). pp. 57-62. ISSN 2278-3091
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Abstract
Pattern recognition is the most popular are in the modern world. Significant progress has made in English character and digits recognition technology. However, the performance of the existing system of English character and digits recognition can be increased. This study is suggested a novel method, zig-zag diagonal feature extraction method along with ANN to increase the recognition rate of the English character and digit recognition system. The proposed method of this method is tested on an official dataset of English characters (EMNIST) and English digits (MNIST), achieving a 99.8% accuracy and 94% accuracy, respectively.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ANN; backpropagation algorithm; feature extraction; OCR. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Gani |
| Date Deposited: | 13 Jun 2025 02:12 |
| Last Modified: | 13 Jun 2025 02:12 |
| URI: | http://ir.unimas.my/id/eprint/48444 |
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