REID2019 Competition Dataset (Recognition of Early Indian Printed Documents) (REID2019)

2019-05-31 (v. 1)

Contact author

Christian Clausner

University of Salford

c.clausner@salford.ac.uk

01612956749

You can cite this dataset as: Christian Clausner, REID2019 Competition Dataset (Recognition of Early Indian Printed Documents) (REID2019) ,1,ID:REID2019_1,URL:https://tc11.cvc.uab.es/datasets/REID2019_1

Dataset Information

Dataset URL

https://www.primaresearch.org/datasets/REID2019

Keywords

Bengali,OCR,Segmentation,Printed

Description

For the most part, the scanned images contain single column lines of text, with a small amount containing illustrations as well as text. Some pages contain marginal data such as numbers, handwritten notes, and decorative frames. The evaluation set consisted of 56 images as a representative sample ensuring a balanced presence of different issues affecting layout analysis and OCR. Such issues include non-straight text lines, show-through or bleed-through, faded ink, decorations, the presence non-rectangular shaped regions, varying text column widths, varying font sizes, presence of separators and various aging- and scanning-related issues. In addition to the evaluation set, 25 representative images were selected as the example set that was provided to the authors with ground truth. 

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