2 search results for “handwriting recognition” in the Public website
Making Sense of Illustrated Handwritten Archives
Many handwritten and illustrated archives contain a wealth of information, but are largely underexplored because they are complex and difficult for computers to decipher. The aim of this project is to develop a digital environment that resolves this challenge and connects heterogeneous archival content…
Leiden University partner in research on handwriting and image recognition
The Leiden Centre of Data Science and the Leiden Institute of Advanced Computer Science are part of a consortium that will carry out research on making illustrated and handwritten archives digitally accessible. The project is funded by NWO.