Arabic OCR: A centerline independent segmentation technique

被引：0
|
作者：
Kandil, AH [1 ]
El-Bialy, A [1 ]
机构：
[1] Cairo Univ, Fac Engn, Syst & Biomed Dept, Cairo, Egypt
来源：
ICEEC'04: 2004 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTER ENGINEERING, PROCEEDINGS | 2004年
关键词：
D O I：
10.1109/ICEEC.2004.1374482
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The cursive written text is still representing a challenge for researchers. Latin and Chinese Optical Character Recognition systems (OCR) have been studied extensively in the literature. Yet little work was performed for Arabic character recognition. Powerful and stable text segmentation is still needed. In this paper, a segmentation technique which is capable of processing vowelized Arabic text is introduced. Such a technique is size and font independent. Moreover, it does not require the detection of the centerline. It can also process typeset text. This technique can segment the cursive written text line even if the line suffers from skewness.
引用
收藏
页码：412 / 415
页数：4
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