DocumentCode
344178
Title
An enhanced skew angle estimation technique for binary document images
Author
Ma, Huiye ; Yu, Zhenwei
Author_Institution
Min. & Technol., Beijing Graduate Sch. of China Univ., China
fYear
1999
fDate
20-22 Sep 1999
Firstpage
165
Lastpage
168
Abstract
In this paper, an improved skew angle estimation technique is presented. Skew angle detection is an important part of any optical character recognition (OCR) and document analysis system. The method considers the lowermost pixels of some selected characters of the text, which may be subject to the Hough transform for skew angle detection. A fast approach is also proposed which works almost as accurately as the Hough transform for skew angle detection. Experimental results are presented and compared with results on several other skew detection methods
Keywords
Hough transforms; document image processing; optical character recognition; Hough transform; OCR; binary document images; document analysis system; experimental results; optical character recognition; pixels; skew angle estimation technique; Character recognition; Electrical capacitance tomography; Fourier transforms; Goniometers; Histograms; Image analysis; Nearest neighbor searches; Optical character recognition software; Testing; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location
Bangalore
Print_ISBN
0-7695-0318-7
Type
conf
DOI
10.1109/ICDAR.1999.791750
Filename
791750
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