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Study On The Optimizations Of The Hough Transform For Image Line Detection

Author

Listed:
  • 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)

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.

Suggested Citation

  • Manolache Florentina Cristina & Sofron Angela & Stanciu Adelina & Costin-Anton Boiangiu, 2013. "Study On The Optimizations Of The Hough Transform For Image Line Detection," Romanian Economic Business Review, Romanian-American University, vol. 7(1), pages 141-155, May.
  • Handle: RePEc:rau:journl:v:7:y:2013:i:1:p:141-155
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