Towards the Rectification of Highly Distorted Texts

Stefania Calarasanu, Séverine Dubuisson, Jonathan Fabrizio

Abstract

A frequent challenge for many Text Understanding Systems is to tackle the variety of text characteristics in born-digital and natural scene images to which current OCRs are not well adapted. For example, texts in perspective are frequently present in real-word images, but despite the ability of some detectors to accurately localize such text objects, the recognition stage fails most of the time. Indeed, most OCRs are not designed to handle text strings in perspective but rather expect horizontal texts in a parallel-frontal plane to provide a correct transcription. In this paper, we propose a rectification procedure that can correct highly distorted texts, subject to rotation, shearing and perspective deformations. The method is based on an accurate estimation of the quadrangle bounding the deformed text in order to compute a homography to transform this quadrangle (and its content) into a horizontal rectangle. The rectification is validated on the dataset proposed during the ICDAR 2015 Competition on Scene Text Rectification.

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Paper Citation


in Harvard Style

Calarasanu S., Dubuisson S. and Fabrizio J. (2016). Towards the Rectification of Highly Distorted Texts . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 241-248. DOI: 10.5220/0005772602410248


in Bibtex Style

@conference{visapp16,
author={Stefania Calarasanu and Séverine Dubuisson and Jonathan Fabrizio},
title={Towards the Rectification of Highly Distorted Texts},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={241-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005772602410248},
isbn={978-989-758-175-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)
TI - Towards the Rectification of Highly Distorted Texts
SN - 978-989-758-175-5
AU - Calarasanu S.
AU - Dubuisson S.
AU - Fabrizio J.
PY - 2016
SP - 241
EP - 248
DO - 10.5220/0005772602410248