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 :
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