Work

The TRANSCRIPT Tool for Historical Ciphers by the DECRYPT Project

Year: 2022

Type: conference-paper

Abstract: TRANSCRIPT is a web-based tool1 for creating transcriptions for scanned images of historical manuscripts. The tool is interactive and leverages pre-trained image processing algorithms, therefore implementing a human-in-the-loop artificial intelligence. Different algorithms may be used in every step of the process: line and symbol segmentation, clustering and symbol recognition. However, at each step the user can manually intervene, clean up or enrich the results of algorithmic image processing. We present here the current work-in-progress version of the TRANSCRIPT tool.

Source: Linköping electronic conference proceedings

DOI: 10.3384/ecp188409

Authors: Ferenc Szigeti, Mihály Héder

Institutions: Budapest University of Technology and Economics, Technical University of Munich

Language: English

Topic: Handwritten Text Recognition Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Vetenskapsrådet

Awards: G712881263, DECRYPT: Dekryptering av historiska manuskript, G8934813586