MORO, Kamal and FAKIR, Mohammed and EL KESSAB, Badr Dine and BOUIKHALENE, Belaid and DAOUI, Cherki (2013) GUJARATI HANDWRITTEN NUMERAL OPTICAL CHARACTER THROUGH NEURAL NETWORK AND SKELETONIZATION. JURNAL SISTEM KOMPUTER , Vol.3 (No.1). pp. 40-43. ISSN 2087-4685
![[img]](/style/images/fileicons/application_pdf.png)
| PDF - Published Version 545Kb |
Abstract
This paper deals with an optical character recognition (OCR) system for handwritten Gujarati numbers. One may find so much of work for Indian languages like Hindi, Kannada, Tamil, Bangala, Malayalam, Gurumukhi etc, but Gujarati is a language for which hardly any work is traceable especially for handwritten characters. The features of Gujarati digits are abstracted by four different profiles of digits. Skeletonization and binarization are also done for preprocessing of handwritten numerals before their classification. This work has achieved approximately 80,5% of success rate for Gujarati handwritten digit identification.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Optical character recognition, neural network, feature extraction, Gujarati handwritten digits, skeletonization, classification. |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Engineering > Department of Computer System Faculty of Engineering > Department of Computer System |
| ID Code: | 40526 |
| Deposited By: | INVALID USER |
| Deposited On: | 22 Nov 2013 15:21 |
| Last Modified: | 22 Nov 2013 15:21 |
Repository Staff Only: item control page
