DocumentCode
2759253
Title
A Rule Based Approach for Skew Correction and Removal of Insignificant Data from Scanned Text Documents of Devanagari Script
Author
Sharma, Pramod Kumar ; Dhingra, Kapil Dev ; Sanyal, Sudip
Author_Institution
IIT Allahabad India, Allahabad
fYear
2007
fDate
16-18 Dec. 2007
Firstpage
899
Lastpage
903
Abstract
In this paper we have presented a rule based approach for removing insignificant data and skew from scanned documents of Devanagari script. To develop an OCR system for Devanagari script is not an easy job hence proper preprocessing of these scanned documents requires noise removal and correcting skew from the image. The proposed system is based on rule based methods, morphological operations and connected component labeling. Images used for the experiment are binarised grayscale images. Experiments and results show that presented method is robust for preprocessing scanned images of Devanagari text documents.
Keywords
document image processing; mathematical morphology; text analysis; Devanagari script; binarised grayscale images; connected component labeling; morphological operations; of insignificant data removal; rule based approach; scanned text documents; skew correction; Books; Focusing; Gray-scale; Internet; Labeling; Morphological operations; Noise robustness; Optical character recognition software; Printing; Thumb; Devanagari Script; Insignificant Data; OCR; Preprocessing; Skew Correction;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal-Image Technologies and Internet-Based System, 2007. SITIS '07. Third International IEEE Conference on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3122-9
Type
conf
DOI
10.1109/SITIS.2007.93
Filename
4618869
Link To Document