May 21, 2021 Software Open Access

Mohammed, Hussein

MARC21 XML Export

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    <subfield code="a">&lt;p&gt;&lt;strong&gt;What is new in this version?&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Better and more intuitive design.&lt;/li&gt;
	&lt;li&gt;Progress indicator is now provided.&lt;/li&gt;
	&lt;li&gt;Upload size-limit is increased.&lt;/li&gt;
	&lt;li&gt;Analysing the images is sped&amp;nbsp;up.&lt;/li&gt;
	&lt;li&gt;Several bug fixes.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;This software tool has been developed by&amp;nbsp;&lt;a href="https://www.csmc.uni-hamburg.de/about/people/mohammed.html"&gt;Dr. Hussein Mohammed&lt;/a&gt;&amp;nbsp;as a part of sub-project RFA05:&amp;nbsp;&lt;a href="https://www.csmc.uni-hamburg.de/written-artefacts/research/field-a/rfa05.html"&gt;Pattern Recognition in 2D Data from Digitised Images and Advanced Aquisition Techniques.&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;The main goal of HAT&lt;/strong&gt; 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).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;The research for this software was funded&lt;/strong&gt; by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany&amp;acute;s Excellence Strategy &amp;ndash; EXC 2176 &amp;lsquo;Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures&amp;rsquo;, project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universit&amp;auml;t Hamburg.&lt;/p&gt;</subfield>
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    <subfield code="x">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.</subfield>
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    <subfield code="x">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</subfield>
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