Characters' Boundaries based Segmentation for Online Arabic Handwriting

被引：0
|
作者：
Mustafa, Mohamed Elhafiz [1 ]
Abd Alshafy, Hozeifa Adam [2 ]
机构：
[1] Sudan Univ Sci & Technol, Coll Comp Sci & Informat Technol, Khartoum, Sudan
[2] Karay Univ, Engn Coll, Khartoum, Sudan
来源：
2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONICS ENGINEERING (ICCEEE) | 2013年
关键词：
On-line Arabic handwriting; preprocessing; feature extraction; CBD; RECOGNITION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents a segmentation approach for online Arabic handwriting. The approach achieves the segmentation based on the boundaries detection of the handwritten characters which included in the handwriting. The approach relies on an algorithm of characters' boundaries detection. The algorithm application is preceded by a feature extraction stage which in turn preceded by a preprocessing stage. The obtained results show a significant improvement toward the recognition of online Arabic handwriting.
引用
收藏
页码：306 / 310
页数：5
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