DocumentCode
2905987
Title
Two-stage skew correction of handwritten Bangla document images
Author
Malakar, Samir ; Seraogi, B. ; Sarkar, Rituparna ; Das, Niladri ; Basu, Sreetama ; Nasipuri, Mita
Author_Institution
Dept. of MCA, MCKV Inst. of Eng., Howrah, India
fYear
2012
fDate
Nov. 30 2012-Dec. 1 2012
Firstpage
303
Lastpage
306
Abstract
Skewness in the handwritten document images is a common scenario. Therefore, it is very much required to detect and correct the skewness before the document is presented to the document image analysis system. In this regard, the present work develops a two-stage Hough transform based approach to remove the skewness in the document images written in Bangla script. Firstly, page-level skewness is removed by rotating the skewed text lines appropriately and then skewed words in each text line, if any, are also rotated along a reference line.
Keywords
Hough transforms; document image processing; object detection; Bangla script; document image analysis system; handwritten Bangla document image; page-level skewness; reference line; skewness correction; skewness detection; text line; two-stage Hough transform; two-stage skew correction; Clocks; Correlation; Estimation; Image analysis; Layout; Text analysis; Transforms; Handwritten Bangla script; Hough Transform; skew correction; word-level skew correction;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Applications of Information Technology (EAIT), 2012 Third International Conference on
Conference_Location
Kolkata
Print_ISBN
978-1-4673-1828-0
Type
conf
DOI
10.1109/EAIT.2012.6407929
Filename
6407929
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