Proposal for an informal benchmark on word recognition. See for the related ImUnipen collection of word images from on-line vectorial handwriting data: https://zenodo.org/record/1195059 At the time (ICDAR 2003) there was not a lot of interest so the project was not pursued. Lambert Schomaker - February 2023 _______________________________________________________________________________ The ICDAR 2003 Informal Competition for the Recognition of On-line Words: The Unipen-ICROW-03 benchmark set Version 0.0 Lambert Schomaker / International Unipen Foundation The ICROW suite of test files for the recognition of isolated on-line free-style (handprint, mixed and cursive) words has been composed. Different table...
This paper describes the second round of the ICDAR 2019 competition on post-OCR text correction and ...
NICI, Nijmegen Institute for Cognition and Information University of Nijmegen, P.O.Box 9104 6500 HE ...
In this research, a high word-recognition accuracy was achieved using an e-Science friendly deep lea...
International audienceWe report on the third international Competition on Handwritten Mathematical E...
Here is the datasets collected for the Competitionon Recognition of Online Handwritten Mathematical ...
We report the status of the UNIPEN project of data exchange and recognizer benchmarks started two ye...
This dataset comprises the dataset used for the ICDAR 2015 Competition on Handwritten Text Recognit...
We report the status of the UNIPEN project of data exchange and recognizer benchmarks started two ye...
This dataset contains the training and test set for the ICDAR 2017 Competition on Baseline Detection...
Corpus for the ICDAR2019 Competition on Post-OCR Text Correction (October 2019) Christophe Rigaud, A...
Train-A: Dataset of pages with manually revised baselines and the corresponding transcripts associat...
first contest which is dedicated to record recent advances in the field of writer identification usi...
International audienceWe summarize the tasks, protocol, and outcome for the 6th Competition on Recog...
International audienceThis paper describes the robust reading competitions for ICDAR 2003. With the ...
International audienceWe present the outcome of the latest edition of the CROHME competition, dedica...
This paper describes the second round of the ICDAR 2019 competition on post-OCR text correction and ...
NICI, Nijmegen Institute for Cognition and Information University of Nijmegen, P.O.Box 9104 6500 HE ...
In this research, a high word-recognition accuracy was achieved using an e-Science friendly deep lea...
International audienceWe report on the third international Competition on Handwritten Mathematical E...
Here is the datasets collected for the Competitionon Recognition of Online Handwritten Mathematical ...
We report the status of the UNIPEN project of data exchange and recognizer benchmarks started two ye...
This dataset comprises the dataset used for the ICDAR 2015 Competition on Handwritten Text Recognit...
We report the status of the UNIPEN project of data exchange and recognizer benchmarks started two ye...
This dataset contains the training and test set for the ICDAR 2017 Competition on Baseline Detection...
Corpus for the ICDAR2019 Competition on Post-OCR Text Correction (October 2019) Christophe Rigaud, A...
Train-A: Dataset of pages with manually revised baselines and the corresponding transcripts associat...
first contest which is dedicated to record recent advances in the field of writer identification usi...
International audienceWe summarize the tasks, protocol, and outcome for the 6th Competition on Recog...
International audienceThis paper describes the robust reading competitions for ICDAR 2003. With the ...
International audienceWe present the outcome of the latest edition of the CROHME competition, dedica...
This paper describes the second round of the ICDAR 2019 competition on post-OCR text correction and ...
NICI, Nijmegen Institute for Cognition and Information University of Nijmegen, P.O.Box 9104 6500 HE ...
In this research, a high word-recognition accuracy was achieved using an e-Science friendly deep lea...