Handwriting Analysis Tool v3.0 (HAT3)

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Autor/in:

Verlag/Körperschaft:

Universität Hamburg

Erscheinungsjahr:

2020

Medientyp:

Software

Schlagworte:

Beschreibung:

This software tool has been developed by Dr. Hussein Mohammed as a part of sub-project RFA05: Pattern Recognition in 2D Data from Digitised Images and Advanced Aquisition Techniques.

The main goal of this software tool is to analyse handwritten documents (or manuscripts) in order to measure the similarities between different handwriting styles, the analysis results can be useful for:
- Providing quantitative similarity measurements as a supporting information.
- Providing additional support for the work-flow of scholars in manuscript research.
- Identifying certain scribes, handwriting styles and schools of writing.
- Dating manuscripts based on the gradual change in handwriting styles.
The research for this software was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures’, project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
{"references": ["H. Mohammed, V. M\u00e4rgner and H. S. Stiehl, \"Writer Identification for Historical Manuscripts: Analysis and Optimisation of a Classifier as an Easy-to-Use Tool for Scholars from the Humanities,\" 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), Niagara Falls, NY, 2018, pp. 534-539."]}

Beziehungen:

DOI 10.25592/uhhfdm.900

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Quellsystem:

Forschungsdatenrepositorium der UHH

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