Software Open Access

Handwriting Analysis Tool v3.0 (HAT3)

Mohammed, Hussein

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.

Files (370.3 MB)
Name Size
HAT2_calc_s.jpg
md5:3ae8cd0f6abb205d2b884b9a10196a3e
64.7 kB Download
Linux_x64.zip
md5:ae60cef9d5aa835e569ff5b6f8629a40
92.8 MB Download
OSX_x64.zip
md5:52f728edfd9f54016dc4a3547b13eca4
91.8 MB Download
Read me.txt
md5:85f0d05483a6dc6f69bb397364be6f16
717 Bytes Download
Win_x64.zip
md5:d798cc53827abce66f7d05c90ada4fbb
94.4 MB Download
Win_x86.zip
md5:be3207711d592ff2cfb5c93ad4e68198
91.4 MB Download
  • H. Mohammed, V. Märgner 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.

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