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This dataset arises from the READ project (Horizon 2020). The dataset consists of a subset of documents from the Ratsprotokolle collection composed of minutes of the council meetings held from 1470 to 1805 (about 30.000 pages), which will be used in the READ project. This dataset is written in Early Modern German. The number of writers is unknown. Handwriting in this collection is complex enough to challenge the HTR software. The training dataset is composed of 400 pages; most of the pages consist of a single block with many difficulties for line detection and extraction. The ground-truth in this set is in PAGE format and it is provided annotated at line level in the PAGE files. The previous dataset is the same that is located at https://zenodo.org/record/218236#.WnLhaCHhBGF The new file includes the test set corresponding to the HTR competition held at ICFHR 2016
Main updates in Version 1.2.0 (Author: Lorenzo Quirós) 1) TextRegions have been labeled into four different structural types (page-number, marginalia, paragraph and heading). 2) The surrounding polygon some TextRegion have been modified to avoid overlaps between regions, and oversized and undersized regions. 3) Spurious regions have been deleted.
Handwriting Text Recognition
Handwriting Text Recognition
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 229 |

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