+Sharing data for Handwritten Text Recognition

At the READ project we are committed to sharing data and working collaboratively to improve the recognition of handwritten historical documents.

With this in mind, two of the project’ research groups have uploaded data relating to recent computer science competitions in handwriting and document layout analysis.

Data from the Pattern Recognition and Human Language Technology group at the Universitat Politècnica de València and the Computational Intelligence Lab (CITLab) at the University of Rostock:

• International Conference on Frontiers in Handwriting Recognition (ICFHR) 2014 http://doi.org/10.5281/zenodo.44519
• International Conference on Document Analysis and Recognition (ICDAR) 2015 http://doi.org/10.5281/zenodo.248733
• International Conference on Frontiers in Handwriting Recognition (ICFHR) 2016 http://doi.org/10.5281/zenodo.1164045
• International Conference on Document Analysis and Recognition (ICDAR) 2017 http://doi.org/10.5281/zenodo.835489
• International Conference on Frontiers in Handwriting Recognition (ICFHR) 2018 https://doi.org/10.5281/zenodo.1442182

Check out the ScriptNet-READ community on Zenodo for more of the data that READ project researchers are using for their experiments.