DocumentCode
1933615
Title
Title detection algorithm for OCR credentials image based on directional projection and divergence
Author
Wang, Zhiwen ; XIE, Guoqing ; Li, Shaozi ; LIU, Zhi
Author_Institution
Dept. of Comput. & Eng., Guangxi Univ. of Technol., Liuzhou, China
Volume
2
fYear
2010
fDate
9-11 July 2010
Firstpage
212
Lastpage
215
Abstract
According to the OCR character region in OCR credentials image, a new skew detection method was presented by using Bresenham´s integer only line drawing algorithm and within-group measure of dispersion. Several directional projection are calculated in the algorithm by using Bresenham´s integer line drawing algorithm. At the same time calculating minimal within-group measure of dispersion of the directional projection. After searching minimal value of all within-class divergence, the angle relative of minimal value is the one of the OCR credentials. Experiment results show that the new method can measure out the slanting degree of an OCR credentials image efficiently and accurately.
Keywords
document image processing; edge detection; optical character recognition; Bresenham integer line drawing algorithm; OCR credentials image; directional projection; skew detection method; title detection algorithm; Optical character recognition software; credentials; directional projection; skew detection; within-class divergence;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563809
Filename
5563809
Link To Document