Retrieval and recognition of historical handwritten manuscripts
Contact person: prof. dr. Lambert Schomaker
We have created methods for accessing historical archive collections which are difficult to process by traditional OCR methods, for example due to their historical character types or due to the fact that the material is handwritten. The system consists of two major components: (1) a setup for the storage and web-based annotation of scanned page images and parts thereof; (2) a set of (handwriting and text) recognition algorithms as well as retrieval and search methods.
Last modified: | 13 December 2022 1.23 p.m. |