DocumentCode :
3142601
Title :
Robust skew estimation on low-resolution document images
Author :
Okun, Oleg ; Pietikäinen, Matti ; Sauvola, Jaakko
fYear :
1999
fDate :
20-22 Sep 1999
Firstpage :
621
Lastpage :
624
Abstract :
Presents a new technique for estimating an arbitrary skew angle using a simple and efficient text row accumulation based on first- and second-order statistics. In contrast to other works, where an image resolution of 100-300 dpi is necessary, a lower resolution (50 dpi) is enough for our method to obtain a correct result. The performance of the method was evaluated on the database UW-1 of the University of Washington and compared with an advanced Hough transform-based method. A significantly lower error rate for our method confirms its advantages and benefits for automated document processing
Keywords :
Hough transforms; document image processing; higher order statistics; image resolution; Hough transform; UW-1 database; arbitrary skew angle estimation; automated document processing; error rate; first-order statistics; image resolution; low-resolution document images; performance; robust skew estimation; second-order statistics; text row accumulation; Cybernetics; Error analysis; Fuzzy logic; Image analysis; Image coding; Image resolution; Pixel; Robustness; Spatial resolution; Statistics;
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.1999.791864
Filename :
791864
Link To Document :
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