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Slant Removal Technique for Historical Document Images

Department Information and Communication Systems Engineering, University of the Aegean, Samos 83200, Greece
Institut Mines-Télécom/Télécom ParisTech, Université Paris-Saclay, 75013 Paris, France
Author to whom correspondence should be addressed.
Received: 14 May 2018 / Revised: 1 June 2018 / Accepted: 5 June 2018 / Published: 12 June 2018
(This article belongs to the Special Issue Document Image Processing)
Slanted text has been demonstrated to be a salient feature of handwriting. Its estimation is a necessary preprocessing task in many document image processing systems in order to improve the required training. This paper describes and evaluates a new technique for removing the slant from historical document pages that avoids the segmentation procedure into text lines and words. The proposed technique first relies on slant angle detection from an accurate selection of fragments. Then, a slant removal technique is applied. However, the presented slant removal technique may be combined with any other slant detection algorithm. Experimental results are provided for four document image databases: two historical document databases, the TrigraphSlant database (the only database dedicated to slant removal), and a printed database in order to check the precision of the proposed technique. View Full-Text
Keywords: slant removal; document image processing; document image page slant removal; document image processing; document image page
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MDPI and ACS Style

Kavallieratou, E.; Likforman-Sulem, L.; Vasilopoulos, N. Slant Removal Technique for Historical Document Images. J. Imaging 2018, 4, 80.

AMA Style

Kavallieratou E, Likforman-Sulem L, Vasilopoulos N. Slant Removal Technique for Historical Document Images. Journal of Imaging. 2018; 4(6):80.

Chicago/Turabian Style

Kavallieratou, Ergina, Laurence Likforman-Sulem, and Nikos Vasilopoulos. 2018. "Slant Removal Technique for Historical Document Images" Journal of Imaging 4, no. 6: 80.

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