A Statistical Framework for Online Arabic Character Recognition
- 5 August 2016
- journal article
- research article
- Published by Taylor & Francis Ltd in Cybernetics and Systems
- Vol. 47 (6), 478-498
- https://doi.org/10.1080/01969722.2016.1206768
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.Keywords
This publication has 30 references indexed in Scilit:
- ACM Computing Surveys, 2013
- ONLINE ARABIC HANDWRITTEN CHARACTER RECOGNITION BASED ON A RULE BASED APPROACHJournal of Computer Science, 2012
- On-line Handwritten Arabic Character Recognition using Artificial Neural NetworkInternational Journal of Computer Applications, 2012
- Handwritten Arabic Character Recognition Based on Minimal Geometric FeaturesInternational Journal of Machine Learning and Computing, 2012
- Introduction to Arabic Natural Language ProcessingSynthesis Lectures on Human Language Technologies, 2010
- Recognition of handwritten Arabic alphabet via hand motion trackingJournal of the Franklin Institute, 2009
- A new representation of shape and its use for high performance in online Arabic character recognition by an associative memoryInternational Journal on Document Analysis and Recognition (IJDAR), 2005
- STRUCTURAL AND FUZZY TECHNIQUES IN THE RECOGNITION OF ONLINE ARABIC CHARACTERSInternational Journal of Pattern Recognition and Artificial Intelligence, 1999
- Survey and bibliography of Arabic optical text recognitionSignal Processing, 1995
- On-line recognition of handwritten isolated arabic charactersPattern Recognition, 1989