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Published August 30, 2017 | Version v2
Dataset Open

ScriptNet: ICDAR2017 Competition on Historical Document Writer Identification (Historical-WI)

  • 1. Computer Vision Lab, TU Wien
  • 2. Pattern Recognition Lab, FAU Erlangen-Nürnberg
  • 3. Computational Intelligence Laboratory, National Center for Scientific Research "Demokritos"

Description

This dataset contains the test set for the ICDAR2017 Competition on Historical Document Writer Identification (Historical-WI).

The dataset used in this competition consists of 3600 handwritten pages originating from 13th to 20th century. It contains manuscripts from 720 different writers where each writer contributed five pages.

Competition Website: https://scriptnet.iit.demokritos.gr/competitions/6/

Changes August 1st, 2018: uploaded trainings set in color and binarized

if you use the dataset please cite the ICDAR2017 Competition on Historical Document Writer Identification (Historical-WI) paper: https://doi.org/10.1109/ICDAR.2017.225

 

Files

icdar17-historicalwi-training-binarized.zip

Files (3.8 GB)

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Additional details

Funding

READ – Recognition and Enrichment of Archival Documents 674943
European Commission