Software Open Access
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-3" xsi:schemaLocation="http://datacite.org/schema/kernel-3 http://schema.datacite.org/meta/kernel-3/metadata.xsd"> <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>