DocumentCode :
1678193
Title :
Ruling lines removal in handwritten documents
Author :
Alipour, Farzad ; Faez, Karim ; Seifzadeh, Sepideh
Author_Institution :
Dept. Of Electr., Islamic Univ., Qazvin, Iran
fYear :
2013
Firstpage :
80
Lastpage :
83
Abstract :
In this paper, we present a method for removing ruling lines from handwritten documents, making no damage to the existing characters. It is argued that ruling lines have a predictable position in the page, but their thickness and the distance between them may differ from one document to another, which is estimated with simple algorithm. Another important challenge in this regard is detecting the edge of the line. In this paper the two columns that best represent edge of the main lines are considered. Compare to other methods, our method, which has been tested on six languages, that is English, French, German, Greek, Arabic and Persian, displays reduced time in the computation of rule-line removal and higher performance.
Keywords :
document image processing; edge detection; natural language processing; Arabic language; English language; French language; German language; Greek language; Persian language; edge detection; handwritten documents; ruling lines removal; Equations; Image edge detection; Indexes; Mathematical model; Support vector machines; Text analysis; Document image; Hand writing documents; Persian handwriting; Ruling line detection; Ruling line removal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on
Conference_Location :
Zanjan
ISSN :
2166-6776
Print_ISBN :
978-1-4673-6182-8
Type :
conf
DOI :
10.1109/IranianMVIP.2013.6779954
Filename :
6779954
Link To Document :
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