Title of article :
e-PCP: A robust skew detection method for scanned document images
Author/Authors :
Dey، نويسنده , , Prasenjit and Noushath، نويسنده , , S.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
12
From page :
937
To page :
948
Abstract :
We present here an enhanced algorithm (e-PCP) for skew detection in scanned documents, based on the work on Piecewise Covering by Parallelogram (PCP) for robust determination of skew angles [C.-H. Chou, S.-Y. Chu, F. Chang, Estimation of skew angles for scanned documents based on piecewise covering by parallelograms, Pattern Recognition 40 (2007) 443–455]. Our algorithm achieves even better robustness for detection of skew angle than the original PCP algorithm. We have shown accurate determination of skew angles in document images where the original PCP algorithm fails. Further, the increased robustness of performance is achieved with reduced number of computation compared to the originally proposed PCP algorithm. The e-PCP algorithm also outputs a confidence measure which is important in automated systems to filter cases where the estimated skew angle may not be very accurate and thus can be handled by manual intervention. The proposed algorithm was tested extensively on all categories of real time documents and comparisons with PCP method is also provided. Useful details regarding faster execution of the proposed algorithm is provided in Appendix.
Keywords :
Enhanced-PCP , Confidence measure , Skew detection , Text-flow orientation detection , Skew correction , Piece-wise coverings (PCP)
Journal title :
PATTERN RECOGNITION
Serial Year :
2010
Journal title :
PATTERN RECOGNITION
Record number :
1733249
Link To Document :
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