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ICDAR2015 competition on recognition of documents with complex layouts - RDCL2015

Antonacopoulos, Apostolos, Clausner, C, Papadopoulos, C and Pletschacher, S 2015, 'ICDAR2015 competition on recognition of documents with complex layouts - RDCL2015' , in: 2015 13th International Conference on Document Analysis and Recognition (ICDAR) , IEEE, pp. 1151-1155.

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Abstract

This paper presents an objective comparative evaluation of page segmentation and region classification methods for documents with complex layouts. It describes the competition (modus operandi, dataset and evaluation methodology) held in the context of ICDAR2015, presenting the results of the evaluation of eight methods – four submitted, two state-of-the art systems (one commercial and one open-source) and their two immediately previous versions. Three scenarios are reported in this paper, one evaluating the ability of methods to accurately segment regions and two evaluating both segmentation and region classification (one with emphasis on text and the other focusing only on text). The results indicate that an innovative approach has a clear advantage but there is still a considerable need to develop robust methods that deal with layout challenges, especially with the non-text content.

Item Type: Book Section
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Proceedings of the 13th International Conference on Document Analysis and Recognition (ICDAR2015)
Publisher: IEEE
ISBN: 9781479918058
Funders: European Commission
Depositing User: Professor Apostolos Antonacopoulos
Date Deposited: 22 Mar 2016 16:05
Last Modified: 22 Mar 2016 16:05
URI: http://usir.salford.ac.uk/id/eprint/38463

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