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Dr.-Ing. Vincent Christlein

Researcher in the Computer Vision (CV) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Historical-IR19
Image Retrieval for Historical Handwritten Documents

This dataset was used in the ICDAR2019 Competition on Image Retrieval for Historical Handwritten Documents (ICDAR-2019-HDRC-IR).

The dataset consists of 20 000 document images representing about 10 000 writers, divided in three types: writers of (i) manuscript books, (ii) letters, (iii) charters and legal documents.

The dataset can be downloaded from: zenodo.org/record/3262372

For more details please refer to the following competition paper:

coming soon

Historical-WI
ScriptNet: ICDAR2017 Competition on Historical Document Writer Identification