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Authors: Christopher Beck 1 ; Alan Broun 2 ; Majid Mirmehdi 1 ; Tony Pipe 2 and Chris Melhuish 2

Affiliations: 1 University of Bristol, United Kingdom ; 2 University of the West of England, United Kingdom

Keyword(s): Text Aggregation, Line Construction, Text Detection.

Related Ontology Subjects/Areas/Topics: Applications ; Character Recognition ; Classification ; Computer Vision, Visualization and Computer Graphics ; Image Understanding ; Object Recognition ; Pattern Recognition ; Software Engineering ; Theory and Methods

Abstract: We present a new approach to text line aggregation that can work as both a line formation stage for a myriad of text segmentation methods (over all orientations) and as an extra level of filtering to remove false text candidates. The proposed method is centred on the processing of candidate text components based on local and global measures. We use orientation histograms to build an understanding of paragraphs, and filter noise and construct lines based on the discovery of prominent orientations. Paragraphs are then reduced to seed components and lines are reconstructed around these components. We demonstrate results for text aggregation on the ICDAR 2003 Robust Reading Competition data, and also present results on our own more complex data set.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Beck, C.; Broun, A.; Mirmehdi, M.; Pipe, T. and Melhuish, C. (2014). Text Line Aggregation. In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-018-5; ISSN 2184-4313, SciTePress, pages 393-401. DOI: 10.5220/0004817903930401

@conference{icpram14,
author={Christopher Beck. and Alan Broun. and Majid Mirmehdi. and Tony Pipe. and Chris Melhuish.},
title={Text Line Aggregation},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2014},
pages={393-401},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004817903930401},
isbn={978-989-758-018-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Text Line Aggregation
SN - 978-989-758-018-5
IS - 2184-4313
AU - Beck, C.
AU - Broun, A.
AU - Mirmehdi, M.
AU - Pipe, T.
AU - Melhuish, C.
PY - 2014
SP - 393
EP - 401
DO - 10.5220/0004817903930401
PB - SciTePress

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