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Hi Andrea,<br>
<br>
I asked a colleague at Schlesinger who has done work on OCR for manuscript collections about this, and her answer is that while there is no self service tool currently (or imminently) available, this is a very hot area of research, and there will be eventually.
<br>
<br>
Best, <br>
Honor<br>
<br>
Sent using OWA for iPhone
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> DCRM-L <dcrm-l-bounces@lib.byu.edu> on behalf of Cawelti, Andrea <cawelti@fas.harvard.edu><br>
<b>Sent:</b> Tuesday, November 28, 2017 6:55:22 PM<br>
<b>To:</b> 'dcrm-l@lib.byu.edu'<br>
<b>Subject:</b> [DCRM-L] Manuscript handwriting recognition programs</font>
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<p class="x_MsoNormal">I have been hearing that AI exists which can sometimes recognize art forgeries by the patterns of their brush strokes. Is anyone aware of similar work in the area of handwriting recognition? I dream of the day when I can feed an unidentified
(or more frequently, illegible) handwriting sample into a computer and receive some suggestions!</p>
<p class="x_MsoNormal">Thoughts?</p>
<p class="x_MsoNormal">Thanks, andrea</p>
<p class="x_MsoNormal"><span style="font-family:"Times New Roman","serif"">-- </span></p>
<p class="x_MsoNormal"><span style="font-family:"Times New Roman","serif"">(Ms.) Andrea Cawelti
<br>
Ward Music Cataloger <br>
Houghton Library <br>
Harvard University <br>
Cambridge, MA 02138 <br>
<br>
Phone: (617</span><span style="font-family:"Times New Roman","serif"">) 998-5259<br>
</span><span style="font-family:"Times New Roman","serif"">FAX: (617) 495-1376 <br>
E-mail: <a href="mailto:cawelti@fas.harvard.edu"><span style="color:blue">cawelti@fas.harvard.edu</span></a>
</span></p>
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