Abstract
The widely-used PDAs, touch screens, tablet-PCs are alternatives to keyboards with the advantages of being more friendly, easy, and natural. A framework for Arabic online character recognition is developed. The framework integrates the different phases of online Arabic text recognition. The used data poses several challenges such as delayed strokes handling, connectivity problems, variability, and style change of text. We process the delayed strokes at the different phases differently to improve the overall performance. This work includes feature extraction of many features, including several novel statistical features. Experimental results on challenging online Arabic characters show encouraging results.
| Original language | English |
|---|---|
| Pages (from-to) | 478-498 |
| Number of pages | 21 |
| Journal | Cybernetics and Systems |
| Volume | 47 |
| Issue number | 6 |
| DOIs | |
| State | Published - 17 Aug 2016 |
Bibliographical note
Publisher Copyright:© 2016, Copyright © Taylor & Francis Group, LLC.
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 online text recognition
- feature extraction
- online character recognition
ASJC Scopus subject areas
- Software
- Information Systems
- Artificial Intelligence
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