May 21, 2021 Software Open Access

Mohammed, Hussein

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{"conceptdoi":"10.25592/uhhfdm.900","conceptrecid":"900","created":"2021-05-21T14:15:24.818353+00:00","doi":"10.25592/uhhfdm.9179","id":9179,"links":{"badge":"https://www.fdr.uni-hamburg.de/badge/doi/10.25592/uhhfdm.9179.svg","conceptbadge":"https://www.fdr.uni-hamburg.de/badge/doi/10.25592/uhhfdm.900.svg","conceptdoi":"http://doi.org/10.25592/uhhfdm.900","doi":"http://doi.org/10.25592/uhhfdm.9179"},"metadata":{"access_right":"open","access_right_category":"success","communities":[{"id":"csmc"},{"id":"uhh"}],"creators":[{"affiliation":"Universit\u00e4t Hamburg","name":"Mohammed, Hussein","orcid":"0000-0001-5020-3592"}],"description":"<p><strong>What is new in this version?</strong></p>\n\n<ul>\n\t<li>Better and more intuitive design.</li>\n\t<li>Progress indicator is now provided.</li>\n\t<li>Upload size-limit is increased.</li>\n\t<li>Analysing the images is sped&nbsp;up.</li>\n\t<li>Several bug fixes.</li>\n</ul>\n\n<p>This software tool has been developed by&nbsp;<a href=\"https://www.csmc.uni-hamburg.de/about/people/mohammed.html\">Dr. Hussein Mohammed</a>&nbsp;as a part of sub-project RFA05:&nbsp;<a href=\"https://www.csmc.uni-hamburg.de/written-artefacts/research/field-a/rfa05.html\">Pattern Recognition in 2D Data from Digitised Images and Advanced Aquisition Techniques.</a></p>\n\n<p><strong>The main goal of HAT</strong> is to analyse handwriting styles of different scribes and sort them according to their similarity to specific (possibly unknown) handwriting styles. A similarity score will be produced for each of the different handwriting styles (scribes) so that the user can have a relative comparison between the similarities of handwriting styles with respect to specific handwriting styles (possibly from unknown scribes).</p>\n\n<p><strong>The research for this software was funded</strong> by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany&acute;s Excellence Strategy &ndash; EXC 2176 &lsquo;Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures&rsquo;, project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universit&auml;t Hamburg.</p>","doi":"10.25592/uhhfdm.9179","keywords":["Handwriting Analysis","Software Tool","Writer Identification","Computer Vision"],"language":"eng","license":{"id":"CC-BY-NC-ND-4.0"},"publication_date":"2021-05-21","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.","Mohammed, H., Helman-Wazny, A., Colini, C., Beyer, W., Bosch, S. (2022). Pattern Analysis Software Tools (PAST) for Written Artefacts. In: Uchida, S., Barney, E., Eglin, V. (eds) Document Analysis Systems. DAS 2022. Lecture Notes in Computer Science, vol 13237. Springer, Cham. https://doi.org/10.1007/978-3-031-06555-2_15"],"related_identifiers":[{"identifier":"10.25592/uhhfdm.900","relation":"isVersionOf","scheme":"doi"}],"relations":{"version":[{"count":3,"index":2,"is_last":true,"last_child":{"pid_type":"recid","pid_value":"9179"},"parent":{"pid_type":"recid","pid_value":"900"}}]},"resource_type":{"title":"Software","type":"software"},"title":"Handwriting Analysis Tool v3.5 (HAT3.5)","version":"3.5.0"},"owners":[96],"revision":3,"updated":"2022-05-20T14:56:12.303463+00:00"}