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Communication Dans Un Congrès Année : 2017

Skew detection and correction based on Hough transform and Harris corners

Résumé

Skew angle detection is one of the most important component of Optical Characters Recognition (OCR) systems and documents analysis. Taking documents by the blind and visually impaired people with a mobile phone always have a degree of inclination. In this paper, a novel and an efficient method based on extraction of Harris corner features points and Hough transform is presented to estimate skew angle of printed documents. A comparative study using the ICDAR2015 database with the wellknown methods in literature, shown the effectiveness and the performance of the proposed algorithm
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Dates et versions

hal-01617807 , version 1 (17-10-2017)

Identifiants

Citer

Ahmed Gari, Ghizlane Khaissidi, Mostafa Mrabti, Driss Chenouni, Mounim El Yacoubi. Skew detection and correction based on Hough transform and Harris corners. WITS 2017 : International Conference on Wireless Technologies, Embedded and Intelligent Systems, Apr 2017, Fez, Morocco. pp.1 - 4, ⟨10.1109/WITS.2017.7934619⟩. ⟨hal-01617807⟩
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