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Published August 30, 2017 | Version v1

ScriptNet: ICDAR2017 Competition on Historical Document Writer Identification (Historical-WI)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This dataset contains the test set for the ICDAR2017 Competition on Historical Document Writer Identification (Historical-WI).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

Files

ScriptNet-HistoricalWI-2017-binarized.zip

Files (3.4 GB)

Name Size
md5:182e77383594558587405db407eb1689
1.5 GB Preview Download
md5:fccbd8ffba730f9e68410fe32a2a8ce6
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Additional details

Funding

European Commission
READ - Recognition and Enrichment of Archival Documents 674943