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
Link To Document :
بازگشت