A new method to separation of Farsi and Arabic sub-words using image processing techniques

被引：0

作者：

Shirvani, Parisa ^{[1
]}

Khouzani, Mehrdad Vatankhah ^{[2
]}

机构：

[1] Univ Semnan, Dept Elect Engn, Semnan, Iran

[2] Sheffield Hallam Univ, Fac Arts Comp Engn & Sci ACES, Sheffield, S Yorkshire, England

来源：

2013 FIRST IRANIAN CONFERENCE ON PATTERN RECOGNITION AND IMAGE ANALYSIS (PRIA) | 2013年

关键词：

recognition; connected-component labeling; sub-word's separation; image processing;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

letters separation and word's units is one of the most important parts of text recognition algorithms. In the Farsi language, these parts consist of single letters and connected letters which called "sub-word". Therefore, separation for these units has a main role in developing text processing's algorithms. In this paper, a method based on connected-component labeling techniques with high accuracy is suggested that makes letters and sub-words separation in Farsi font in any size, possible. Experiments show more than 90 percent accuracy in this method

引用

页数：3

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