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SUMMARY:Optical Mark Recognition using commodity hardware - Paul Wilkinson
 \, Part II
DTSTART:20090303T183000Z
DTEND:20090303T193000Z
UID:TALK15230@talks.cam.ac.uk
CONTACT:John Wickerson
DESCRIPTION:Optical Mark Recognition (OMR) has been used to gather input f
 rom large groups of people for many years\, with applications including mu
 ltiple choice exams and large scale voting. The need to use special purpos
 e hardware to process the forms\, and restrictions placed upon the layout 
 of the form so the hardware can process it\, means OMR is not suitable for
  small-scale operations such as a test for a single class of students. The
  data collector ends up reverting to manually processing the forms. Can th
 is problem be solved using simpler hardware\, such as a scanner or a webca
 m?\n\nThis talk will briefly cover some standard machine vision techniques
  for OMR\, and explore some of the subtleties that exist in different appr
 oaches.
LOCATION:Jock Colville Hall\, Churchill College
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