Handwriting Analysis Tool v2.0 (HAT-2)



HAT-2 is a software tool that can be used to analyse handwriting styles. Several different handwriting styles (scribal hands) can be analysed concurrently and sorted according to their similarity to a questioned or unknown style (query). A similarity score will be calculated for each predefined style (scribal hand) to create a relative comparison between them with respect to an unknown style.
The handwriting styles (scribes) do not need to be known, only discriminative labels must be used for each different style (hand).


Download HAT-2

The .zip file includes:

  • a Windows installer that works for both x32 and x64 platforms (MacOS via a virtual machine or Wine)
  • a manual that provides a description of the directory structure, usage procedure and some necessary remarks.

Download Project files with Sourcecode (for developers)

  • This software tool is developed as a Windows Forms project using C# language within the framework of .NET from Microsoft.

This tool is being developed by Hussein Mohammed, researcher in sub-project Z03 of CSMC at Universität Hamburg and is based on the method presented in the following publication:

H. Mohammed, V. Märgner, T. Konidaris, and H. S. Stiehl, “Normalised local näive bayes nearest-neighbour classifier for offline writer identification”, in 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2017, pp. 1013–1018.

The recommendations in the software manual are partially based on the publication:

H. Mohammed, V. Märgner, and H. S. Stiehl, “Writer Identification in Historical Manuscripts: Analysis and Optimisation of a Classifier with an easy-to-use Implementation for Scholars from the Humanities”, in 2018 16th IAPR International Conference on Frontiers in Handwriting Recognition (ICFHR). IEEE, to be published (accepted paper).


HAT-2 is licensed under the Creative Commons Attribution-NonCommercial 4.0 International Public License