STUDY ON THE OPTIMIZATIONS OF THE HOUGH TRANSFORM FOR IMAGE LINE DETECTION

Manolache Florentina Cristina (), Sofron Angela (), Stanciu Adelina () and Costin-Anton Boiangiu ()
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Manolache Florentina Cristina: Department of Computer Science and Engineering, Faculty of Automatic Control and Computers ScienceUniversity “Politehnica” of Bucharest, Splaiul Independenţei 313, Bucharest, 060042, Romania
Sofron Angela: Department of Computer Science and Engineering, Faculty of Automatic Control and Computers ScienceUniversity “Politehnica” of Bucharest, Splaiul Independenţei 313, Bucharest, 060042, Romania
Stanciu Adelina: Department of Computer Science and Engineering, Faculty of Automatic Control and Computers ScienceUniversity “Politehnica” of Bucharest, Splaiul Independenţei 313, Bucharest, 060042, Romania
Costin-Anton Boiangiu: Department of Computer Science and Engineering, Faculty of Automatic Control and Computers ScienceUniversity “Politehnica” of Bucharest, Splaiul Independenţei 313, Bucharest, 060042, Romania

Journal of Information Systems & Operations Management, 2013, vol. 7, issue 1, 141-155

Abstract: Skew detection for scanned documents is an important field of research, of great interest for both academic and commercial environments. The Hough transform has been established as the standard for accurate skew detection, thanks to its high accuracy and mathematical soundness. Unfortunately, this high accuracy comes with a high time penalty, and thus the search for speed improvements that do not reduce accuracy is on. The present article will present an impartial comparison of the proposed methods and point out each method strong and weak points.

Keywords: skew detection; deskew; Hough transform; OCR (search for similar items in EconPapers)
Date: 2013
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