<\/p>\n
In the context of a work on text-lines localization in handwritten documents containing tables, we proposed to evaluate our system on a subset of cBAD (Competition on Baseline Detection, ICDAR 2017 [1]) dataset (track B) that contains exclusively documents with tabular structures. The dataset of the cBAD competition is available here<\/a>.<\/p>\n Identifying which structure can be consider as a tabular structure in cBAD dataset is not always obvious. This is why we consider the following rule in order to select the documents of the subset.<\/p>\n A document contains a tabular structure if at least one of those two properties is verified:<\/p>\n \u2022 the tabular structure is materialized by vertical and horizontal rulings,<\/p>\n \u2022 columns of the tabular structure are materialized by vertical rulings and those columns have names.<\/p>\n The table subset is composed of 315 documents (51 084 text-lines).<\/p>\n [1] M. Diem, F. Kleber, S. Fiel, T. Gr\u00fcning, B. Gatos (2017, November). cbad: Icdar2017 competition on baseline detection. In 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) (Vol. 1, pp. 1355-1360). IEEE.<\/p>\n Download the list of images chosen for our table subset.<\/a><\/p>","protected":false},"excerpt":{"rendered":"<\/p>\n In the context of a work on text-lines localization in handwritten documents containing tables, we proposed to evaluate our system on a subset of cBAD (Competition on Baseline Detection, ICDAR 2017 [1]) dataset (track B) that contains exclusively documents with tabular structures. The dataset of the cBAD competition is available here<\/a>.<\/p>\n Identifying … <\/p>\nData<\/h3>\n
Description<\/h3>\n