DocumentCode
2076947
Title
A skew angle detection algorithm based on maximum gradient difference
Author
Wang, Dongping ; Xichang Wang ; Jiang Liu
Author_Institution
Shandong Province Key Lab. for Distrib., Shandong Normal Univ., Jinan, China
fYear
2011
fDate
16-18 Dec. 2011
Firstpage
1747
Lastpage
1750
Abstract
In order to resolve the problem of skew phenomenon in the handwritten document image during the scanning process, a new skew angle detection algorithm based on maximum gradient difference as well as Hough transform was proposed in the paper. Firstly, text lines are labeled by using maximum gradient difference, and then we use the method of non-text filtering to get rid of shorter text lines and dots. Finally, margin information is extracted after refining on text lines, and two-stage Hough transform is made to the margin extracted information with the strategy varying from “coarse” to “fine” strategy, calculating the skew angle of document image which is fixed by the average of several longest lines. Experiment results shows that the algorithm detects skew angles of document image more rapidly and accurately than Hough transform alone.
Keywords
Hough transforms; document image processing; feature extraction; gradient methods; handwritten character recognition; information filtering; text detection; coarse strategy; fine strategy; handwritten document image processing; margin information extraction; maximum gradient difference; nontext filtering method; scanning process; skew angle detection algorithm; skew phenomenon; text lines; two-stage Hough transform; Accuracy; Algorithm design and analysis; Data mining; Detection algorithms; Filtering; Layout; Transforms; Maximum Gradient Difference; non-text filtering; skew angle detection; two-stage Hough transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4577-1700-0
Type
conf
DOI
10.1109/TMEE.2011.6199550
Filename
6199550
Link To Document