ICDAR2015 competition on recognition of documents with complex layouts - RDCL2015

Antonacopoulos, Apostolos; Clausner, C; Papadopoulos, C; Pletschacher, S

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.

Citation

Antonacopoulos, A., Clausner, C., Papadopoulos, C., & Pletschacher, S. (2015). ICDAR2015 competition on recognition of documents with complex layouts - RDCL2015. In 2015 13th International Conference on Document Analysis and Recognition (ICDAR) (1151-1155). IEEE. https://doi.org/10.1109/ICDAR.2015.7333941

• Publication Date: Jan 1, 2015
• Deposit Date: Mar 22, 2016
• Pages: 1151-1155
• Book Title: 2015 13th International Conference on Document Analysis and Recognition (ICDAR)
• ISBN: 9781479918058
• DOI: https://doi.org/10.1109/ICDAR.2015.7333941
• Publisher URL: http://dx.doi.org/10.1109/ICDAR.2015.7333941
• Additional Information: Funders : European Commission