DocumentCode :
3223294
Title :
Document image skew adjusting based on the feedback information recognized by OCR
Author :
Fu, Xiaoling ; Xu, Yazhuo ; Tong, Lijing
Author_Institution :
Dept. of Comput. Sci., NCUT, Beijing, China
fYear :
2011
fDate :
27-29 May 2011
Firstpage :
376
Lastpage :
378
Abstract :
Document image skew adjusting is just a very important step in the course of image processing, for skew images can cause the characters to be deformed obviously and then the latter recognized effect could decline rapidly. This paper puts forward a new detecting method to obliquity. It can choose detecting method on the basis of feedback information which is recognized by OCR, thus to some extent it overcomes a certain algorithm´s flaws that have not a good universality to all the texts.
Keywords :
document image processing; optical character recognition; OCR; document image skew adjusting; feedback information; image processing; Algorithm design and analysis; Computers; Optical character recognition software; OCR; feedback information recognized by OCR; skew detection; universality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
Type :
conf
DOI :
10.1109/ICCSN.2011.6013852
Filename :
6013852
Link To Document :
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