ICDAR – International Conference on Document Analysis and Recognition – is the most important conference for academia and industry in the field of document analysis and character recognition. The PLANET AI research team participated with three papers and won one Best Paper Award.
In the 6th International Workshop on Historical Document Imaging and Processing (HIP ’21), “Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Fine-tuning” was awarded as best scientific paper.
In cooperation with researchers at the University of Würzburg and LMU Munich, a large corpus of OCR training data was first collected and processed, covering several languages and almost 450 years of printing history. Then, using existing best practices combined with new data-side optimizations, an OCR model was trained. It significantly outperformed existing methods when applied out-of-the-box to unseen material, and also proved to be a valuable starting point for further, more targeted training processes.
ICDAR, which took place in Lausanne (Switzerland) from September 5 to 10, has been a successful venue for the PLANET team several times in the past. In 2019, 2017, and 2015, PLANET AI won six awards in the field of handwriting recognition. Organizations that want to digitize historical documents can benefit from the award-winning technology used in the IDA Platform, PLANET AI’s Intelligent Document Analysis product.