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Document Skew Detection and Correction Algorithm using Wavelet and Radon Transforms
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نویسنده
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Al-Bayatti Hilal M. Yousif ,Rahma Abdul Monem S. ,Al-adhadh F.A.
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منبع
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journal of university of anbar for pure science - 2009 - دوره : 3 - شماره : 1 - صفحه:- --
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چکیده
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As part of research into document image processing, an algorithm has been developed to detect and correct the degree of skew in a scanned image. the principal components of the algorithm are the wavelet and radon transforms. the wavelet transform is used as a form of down- sampling process to reduce the amount of data to be processed. the performance of the algorithm has been evaluated using a sample size of several images taken from different types of document. evaluation shows that a skew angle may be detected and corrected.
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کلیدواژه
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Document Skew ,Detection ,Correction Algorithm ,Wavelet and Radon Transforms
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آدرس
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Amman Arab University, Jordan, University of Technology, Computer Science Department, Iraq, Mustansriah University, Computer department, Iraq
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Authors
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