OCR Correction via Human Computational Game

Lin Tingji Jovian, Olivier Amprimo
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zlnwsi4sefbkvlcgv2zcupjqum" style="color: black;">2011 44th Hawaii International Conference on System Sciences</a> </i> &nbsp;
We present TypeAttack, a Facebook game that improves the efficiency of digitization, which is the process of converting analog information into digital information. In this game, players compete to type out texts from images of scanned documents in the quickest time possible, with the utmost accuracy. These historical documents are thus manually digitized as a bi-product of game play. Harnessing the perceptual abilities of humans as well as their desire to be entertained, TypeAttack enhances
more &raquo; ... digitization of old documents, especially those that cannot be transcribed accurately by Optical Character Recognition (OCR) programs.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/hicss.2011.319">doi:10.1109/hicss.2011.319</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/hicss/JovianA11.html">dblp:conf/hicss/JovianA11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iyy3j6utune5xif4adzdquufna">fatcat:iyy3j6utune5xif4adzdquufna</a> </span>
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