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<p>Dear colleagues,<br>
<br>
The sub-project <a href="https://www.csmc.uni-hamburg.de/written-artefacts/research/field-a/rfa05.html">RFA05</a> from the Cluster of Excellence: "<a href="https://www.csmc.uni-hamburg.de/written-artefacts.html">Understanding Written Artefacts</a>" in Universität Hamburg released new versions of the following software tools:<br>
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<strong>Handwriting Analysis Tool (HAT):</strong><br>
HAT3.5: <a href="https://www.fdr.uni-hamburg.de/record/9179#.YK5TN6gzaUk">https://www.fdr.uni-hamburg.de/record/9179#.YK5TN6gzaUk</a><br>
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<span style="font-size:14px;"><span id="docs-internal-guid-a6d6a38e-7fff-bf3d-ee1a-e8f1a9c6dcdc"><span style="background-color: rgb(255, 255, 255); font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;"><strong>HAT</strong> is a software tool that can be used to analyse handwriting styles. Several different handwriting styles (scribal hands) can be analysed concurrently and sorted according to their similarity to a questioned or unknown style (query). A similarity score will be calculated for each predefined style (scribal hand) to create a relative comparison between them with respect to an unknown style.</span></span></span><br>
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<span style="font-size:12px;"><span style="font-size:14px;">More details about the method, the experimental results and the used datasets can be found in the following references:</span><br>
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<em><font face="-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica Neue, Arial, Noto Sans, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol, Noto Color Emoji"><span style="box-sizing: border-box;"><span style="font-size:14px;">- H. Mohammed et al., "Normalised Local Naive Bayes Nearest-Neighbour Classifier for Offline Writer Identification", in Document Analysis and Recognition (ICDAR), 14th International Conference on. IEEE, 2017, Kyoto, Japan.</span></span></font></em></span><br>
<span style="font-size:14px;"><em><font face="-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica Neue, Arial, Noto Sans, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol, Noto Color Emoji"><span style="box-sizing: border-box;">- H. Mohammed et al., "Writer identification for historical manuscripts: Analysis and optimisation of a classifier as an easy-to-use tool for scholars from the humanities", in 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), pages 534–539. IEEE, 2018.</span></font></em></span><br>
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<strong>Visual-Pattern Detection (VPD):</strong><br>
VPD1.3: <a href="https://www.fdr.uni-hamburg.de/record/9186#.YK5TMKgzaUk">https://www.fdr.uni-hamburg.de/record/9186#.YK5TMKgzaUk</a><br>
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<span style="font-size:14px;"><span style="background-color: rgb(255, 255, 255); font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;"><strong>VPD</strong> is a software tool that can be used to recognise and allocate visual patterns (such as words, drawings and seals) automatically in digitised manuscripts.</span> <span style="background-color: rgb(255, 255, 255); font-variant-numeric: normal; font-variant-east-asian: normal; vertical-align: baseline; white-space: pre-wrap;">The recall-precision balance of detected patterns can be controlled visually, and the detected patterns can be saved as annotations on the original images or as cropped images depending on the needs of users.</span></span><br>
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More details about the method, the experimental results and the used datasets can be found in the following reference:<br>
<br>
<em><span style="font-size:12px;"><font face="-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica Neue, Arial, Noto Sans, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol, Noto Color Emoji"><span style="box-sizing: border-box;"><span style="font-size:14px;">- </span></span></font></span></em><em><span style="font-size: 12px;"><font face="-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica Neue, Arial, Noto Sans, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol, Noto Color Emoji"><span style="box-sizing: border-box;"><span style="font-size: 14px;">H. </span></span></font></span></em><em><span style="font-size:12px;"><font face="-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica Neue, Arial, Noto Sans, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol, Noto Color Emoji"><span style="box-sizing: border-box;"><span style="font-size:14px;">Mohammed,</span></span></font></span></em> <em><span style="font-size: 12px;"><font face="-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica Neue, Arial, Noto Sans, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol, Noto Color Emoji"><span style="box-sizing: border-box;"><span style="font-size: 14px;">V. </span></span></font></span></em><em><span style="font-size:12px;"><font face="-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica Neue, Arial, Noto Sans, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol, Noto Color Emoji"><span style="box-sizing: border-box;"><span style="font-size:14px;">Märgner, &</span></span></font></span></em> <em><span style="font-size: 12px;"><font face="-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica Neue, Arial, Noto Sans, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol, Noto Color Emoji"><span style="box-sizing: border-box;"><span style="font-size: 14px;">G. </span></span></font></span></em><em><span style="font-size:12px;"><font face="-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Helvetica Neue, Arial, Noto Sans, sans-serif, Apple Color Emoji, Segoe UI Emoji, Segoe UI Symbol, Noto Color Emoji"><span style="box-sizing: border-box;"><span style="font-size:14px;">Ciotti (2021). Learning-free pattern detection for manuscript research. International Journal on Document Analysis and Recognition (IJDAR), 1-13.</span></span></font></span></em></p>
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The main goal of these software tools is to help the scholars with their manuscript research, and<span style="font-size:14px;"> t<span style='font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";'>he development of these tools was sponsored by the Cluster of Excellence 2176 ‘Understanding Written Artefacts’, generously funded by the German Research Foundation (DFG), within the scope of the work conducted at Centre for the Study of Manuscript Cultures (CSMC).</span></span></p>
<div><span lang="EN-US" style="font-family: Tahoma; font-size: 13px;">With best regards<br>
Hussein<br>
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Dr. rer. nat. Hussein Adnan Mohammed<br>
<a href="https://www.csmc.uni-hamburg.de/about/people/mohammed.html">https://www.csmc.uni-hamburg.de/about/people/mohammed.html</a> </span></div>
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