The significance of reading order in document recognition and its evaluation

Clausner, C ORCID: https://orcid.org/0000-0001-6041-1002, Pletschacher, S ORCID: https://orcid.org/0000-0003-0541-0968 and Antonacopoulos, A ORCID: https://orcid.org/0000-0001-9552-0233 2013, 'The significance of reading order in document recognition and its evaluation' , Proceedings of the 12th International Conference on Document Analysis and Recognition (ICDAR2013) , pp. 688-692.

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Abstract

Reading order detection and representation is an important task in many digitisation scenarios involving the preservation of the logical structure of a document. The corresponding need for the evaluation of reading order results generated by layout analysis methods poses a particular challenge due to the potential deviations between the ground truth and actually detected segmentation of the page. To this end a novel evaluation approach that responds to this problem by incorporating region correspondence analysis is proposed. Furthermore, a sophisticated reading order representation scheme is presented and used by the system allowing the grouping of objects with ordered and/or unordered relations. This is a typical requirement for documents with complex layouts such as magazines and newspapers. The evaluation method has been validated using the results of two state-of-the-art OCR / layout analysis systems and a basic top-to-bottom reading order detection algorithm applied on representative samples from the PRImA contemporary and the IMPACT historical document datasets.

Item Type:	Article
Themes:	Media, Digital Technology and the Creative Economy
Schools:	Schools > School of Computing, Science and Engineering Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title:	Proceedings of the 12th International Conference on Document Analysis and Recognition (ICDAR2013)
Publisher:	IEEE Computer Society
Refereed:	Yes
ISSN:	1520-5363
Related URLs:	Publication Publisher
Funders:	The EU Competitiveness and Innovation Framework Programme
Depositing User:	Mr Christian Clausner
Date Deposited:	23 Sep 2013 17:34
Last Modified:	04 Nov 2020 11:16
URI:	http://usir.salford.ac.uk/id/eprint/29504

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