Bjoern Bjorn Björn Gottfried

Venod

In the last two decades many digitisation projects have been carried out. Whole books and entire collections of libraries have been transformed into a digital format. The means for effectively analysing these documents are still limited. Methods for processing those documents for which established character recognition methods fail are required. In particular, this concerns documents with mixed languages, special and unknown symbols, non-standard character sets, especially rare fonts, such as those found in ancient documents.

This projects develops a system for automated analysis, preparation and processing of documents without the employment of typical optical character recognition methods. Instead, the analysis and comparison of glyphs solely relies on visual features, enabling the processing of arbitrary symbols and fonts. As a result, printed documents can be efficiently stored, transferred as well as reformatted for different output media.

Cooperation

Prof. Dr. Arved C. Hübler
TU Chemnitz

Funding

German Research Foundation (DFG)
GZ: GO 2023/3-2