| HIP@ICDAR 2021: The 6th International Workshop on Historical Document Imaging and Processing, Lausanne, Switzerland, September 5-6, 2021. | 0 | 0.34 | 2021 |
| A survey of OCR evaluation tools and metrics. | 0 | 0.34 | 2021 |
| Efficient and effective OCR engine training | 0 | 0.34 | 2020 |
| Flexible Character Accuracy Measure for Reading-Order-Independent Evaluation | 0 | 0.34 | 2020 |
| A Cloud-Hosted MapReduce Architecture for Syntactic Parsing | 0 | 0.34 | 2019 |
| Crowdsourcing Historical Tabular Data: 1961 Census of England and Wales | 0 | 0.34 | 2019 |
| ICDAR2019 Competition on Recognition of Early Indian Printed Documents - REID2019. | 0 | 0.34 | 2019 |
| ICDAR2019 Competition on Recognition of Documents with Complex Layouts - RDCL2019. | 3 | 0.38 | 2019 |
| Ontology and Framework for Semantic Labelling of Document Data and Software Methods | 0 | 0.34 | 2018 |
| ICFHR 2018 Competition on Recognition of Historical Arabic Scientific Manuscripts – RASM2018 | 2 | 0.40 | 2018 |
| Unearthing the Recent Past: Digitising and Understanding Statistical Information from Census Tables | 1 | 0.37 | 2017 |
| Effective geometric restoration of distorted historical document for large-scale digitisation. | 0 | 0.34 | 2017 |
| Creating a Complete Workflow for Digitising Historical Census Documents: Considerations and Evaluation. | 0 | 0.34 | 2017 |
| Quality Prediction System for Large-Scale Digitisation Workflows | 1 | 0.37 | 2016 |
| The ENP image and ground truth dataset of historical newspapers | 5 | 0.54 | 2015 |
| Europeana newspapers OCR workflow evaluation | 6 | 0.66 | 2015 |
| ICDAR2015 competition on recognition of documents with complex layouts - RDCL2015 | 10 | 0.55 | 2015 |
| Document representation refinement for precise region description | 0 | 0.34 | 2014 |
| The IMPACT dataset of historical document images | 9 | 0.71 | 2013 |
| A robust hybrid approach for text line segmentation in historical documents | 2 | 0.36 | 2012 |
| Grid-based modelling and correction of arbitrarily warped historical document images for large-scale digitisation | 5 | 0.44 | 2011 |
