Software Open Access
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Handwriting Analysis</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Software Tool</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Writer Identification</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Computer Vision</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><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></subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">software</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2021-05-21</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="a">10.25592/uhhfdm.900</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="n">doi</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">64665</subfield> <subfield code="u">https://www.fdr.uni-hamburg.de/record/9179/files/HAT3p5.jpg</subfield> <subfield code="z">md5:3ae8cd0f6abb205d2b884b9a10196a3e</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">561</subfield> <subfield code="u">https://www.fdr.uni-hamburg.de/record/9179/files/ReadMe.txt</subfield> <subfield code="z">md5:c171a97a9a50d5dcbd96221faa669aec</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">83248903</subfield> <subfield code="u">https://www.fdr.uni-hamburg.de/record/9179/files/Win_x64.zip</subfield> <subfield code="z">md5:9fe9e3e19d74a2c997d9dddff5245712</subfield> </datafield> <controlfield tag="001">9179</controlfield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-csmc</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-uhh</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Handwriting Analysis Tool v3.5 (HAT3.5)</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution Non Commercial No Derivatives 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.25592/uhhfdm.9179</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">Mohammed, Hussein</subfield> <subfield code="u">Universität Hamburg</subfield> <subfield code="0">(orcid)0000-0001-5020-3592</subfield> </datafield> <controlfield tag="005">20220520145612.0</controlfield> <datafield tag="041" ind1=" " ind2=" "> <subfield code="a">eng</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="o">oai:fdr.uni-hamburg.de:9179</subfield> <subfield code="p">user-uhh</subfield> <subfield code="p">user-csmc</subfield> </datafield> <datafield tag="999" ind1="C" ind2="5"> <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> </datafield> <datafield tag="999" ind1="C" ind2="5"> <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> </datafield> </record>