We would like to draw your attention to the following event which will take place at the Hessian State Archives (Marburg, Germany) from 19-21 January 2016 as part of the co:op project:
Technology meets Scholarship, or how Handwritten Text Recognition will Revolutionize Access to Archival Collections. With a special focus on biographical data in archives
In recent years a revolution has taken place in pattern recognition and natural language processing, one which has gone rather unnoticed by the broader public. The results of recent conferences, such as the International Conference on Document Analysis and Recognition (ICDAR), demonstrate that historical documents can also be automatically processed with surprisingly high accuracy.
We therefore would like to invite you take a look at the state-of-the-art in Handwritten Text Recognition, Layout Analysis, Writer Identification and similar research fields and to explore the possibilities of these fascinating technologies for your own organisation and work.
The event is structured into three parts:
- On the first day representatives of the H2020 Project READ (start date of 1 January 2016 with funding of 8.2 Mill. EUR) will provide an overview of the diverse technologies and the connected applications. Especially worth mentioning is the introduction to Handwritten Text Recognition by the University of Rostock (CITlab team), winner of several recent research competitions. - On the second day archival documents and their special characteristics will be the focus. Domain experts and computer scientists will discuss the options (and constraints) of processing, recognising and indexing these documents with current technologies. - On the last day we will deal with the special issue of person names in archives. Several demonstrations from international projects will provide insights into their current work.
To get a first impression of the possibilities of Handwritten Text Recognition please have a look at the website of the EU project tranScriptorium, as well as the Virtual Research Environment TRANSKRIBUS.