Abstract
Character recognition systems can contribute tremendously to the advancement of automation process and can improve the interaction between man and machine in many applications. In this paper we describe a PC based system for offline recognition of Arabic characters and numerals. The system is based on expressing the machine printed Arabic alpha-numeric text in terms of strokes obtained by modified MCR Expression [1]. The system is implemented on a PIII machine in visual programming language under Windows environment.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 |
| Publisher | IEEE Computer Society |
| Pages | 431-434 |
| Number of pages | 4 |
| ISBN (Print) | 0780379462, 9780780379466 |
| DOIs | |
| State | Published - 2003 |
Publication series
| Name | Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 |
|---|---|
| Volume | 2 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Arabic Clmrocter Recognition
- Modified MCR
- OCR
- Segmentation
- Strokes
ASJC Scopus subject areas
- Signal Processing
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