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Text Skew Detection Using Log-polar Transformation
Darko Brodic, Zoran N. Milivojevic, Dragan R. Milivojevic
University of Belgrade, Technical Faculty in Bor V.J. 12, 19210 Bor, Serbia, 3Institute for Mining and Mettalurgy Zeleni bulevar bb, 19210 Bor Serbia2Technical College Niš, Aleksandra Medvedeva 20 18000 Niš, Serbia,
Abstract: The paper proposes the method for text skew detection based on log-polar transformation and crosscorrelation. The text image is transformed into log-polar domain as well as the control ellipse. Theirs cross-correlation established the cost function. The extraction of the cost function maximum represents the text skew value in the region. The method is characterized by the accuracy and computational time inexpensiveness.
Keywords: Document Image Processing, Log-Polar Transformation, Text Skew Text Skew Detection Using Log-polar Transformation
DOI:https://doi.org/10.6025/jcl/2023/14/4/113-120
Full_Text   PDF 1.62 MB   Download:   39  times
References:

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