Software Open Access
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<identifier identifierType="DOI">10.25592/uhhfdm.9179</identifier>
<creators>
<creator>
<creatorName>Mohammed, Hussein</creatorName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5020-3592</nameIdentifier>
<affiliation>Universität Hamburg</affiliation>
</creator>
</creators>
<titles>
<title>Handwriting Analysis Tool v3.5 (HAT3.5)</title>
</titles>
<publisher>Universität Hamburg</publisher>
<publicationYear>2021</publicationYear>
<subjects>
<subject>Handwriting Analysis</subject>
<subject>Software Tool</subject>
<subject>Writer Identification</subject>
<subject>Computer Vision</subject>
</subjects>
<dates>
<date dateType="Issued">2021-05-21</date>
</dates>
<language>en</language>
<resourceType resourceTypeGeneral="Software"/>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://www.fdr.uni-hamburg.de/record/9179</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf">10.25592/uhhfdm.900</relatedIdentifier>
</relatedIdentifiers>
<version>3.5.0</version>
<rightsList>
<rights rightsURI="https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode">Creative Commons Attribution Non Commercial No Derivatives 4.0 International</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract"><p><strong>What is new in this version?</strong></p>
<ul>
<li>Better and more intuitive design.</li>
<li>Progress indicator is now provided.</li>
<li>Upload size-limit is increased.</li>
<li>Analysing the images is sped&nbsp;up.</li>
<li>Several bug fixes.</li>
</ul>
<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>
<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>
<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></description>
<description descriptionType="Other">{"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"]}</description>
</descriptions>
</resource>