A Statistical Framework for Online Arabic Character Recognition

被引：8
|
作者：
Al-Helali, Baligh M. [1 ,2 ]
Mahmoud, Sabri A. [1 ]
机构：
[1] King Fahd Univ Petr & Minerals, Dept Comp Sci, POB 1378, Dhahran 31261, Saudi Arabia
[2] Ibb Univ, Dept Math & Comp, Ibb, Yemen
来源：
CYBERNETICS AND SYSTEMS | 2016年 / 47卷 / 06期
关键词：
Arabic online text recognition; feature extraction; online character recognition;
D O I：
10.1080/01969722.2016.1206768
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：478 / 498
页数：21
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