DocumentCode
2022937
Title
Document skew detection using minimum-area bounding rectangle
Author
Safabakhsh, Reza ; Khadivi, Shahram
Author_Institution
Comput. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
fYear
2000
fDate
2000
Firstpage
253
Lastpage
258
Abstract
Detection of document skew is an important step in document image analysis. The paper presents a new method for calculation of document skew. The method forms large connected components by a smoothing algorithm and calculates the document skew by finding the orientation of the minimum-area bounding rectangle of one of several connected components. Connection of text to non-text in the smoothing step does not degrade the performance of the method. The smoothing parameters are determined automatically and no manual adjustment is necessary. The method is not limited in the range of detectable skew angles and the achievable accuracy. Experimental results show the high performance of the algorithm in detecting document skew for a variety of documents with different levels of complexity
Keywords
document image processing; smoothing methods; text analysis; connected components; detectable skew angles; document complexity; document image analysis; document skew; document skew detection; large connected components; minimum-area bounding rectangle; smoothing algorithm; smoothing parameters; Degradation; Image analysis; Smoothing methods; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: Coding and Computing, 2000. Proceedings. International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
0-7695-0540-6
Type
conf
DOI
10.1109/ITCC.2000.844226
Filename
844226
Link To Document