Path: utzoo!censor!geac!torsqnt!news-server.csri.toronto.edu!cs.utexas.edu!swrinde!zaphod.mps.ohio-state.edu!wuarchive!uunet!pilchuck!dataio!gtenmc!maf From: maf@gtenmc.UUCP (Mary Ann Finnerty) Newsgroups: comp.ai Subject: Re: Optical Character Recognition, how? (Curious) Message-ID: <985@gtenmc.UUCP> Date: 6 Dec 90 21:54:36 GMT References: <50761@bsu-ucs.uucp> Organization: GTE Telecom Inc., Bothell, WA Lines: 18 This is another curious question...I use scanners frequently, since we don't have a lan at work and I sometimes need documentation from one of the other platforms here. Since the scanner just recognizes type-written or computer print-out for input, the characters it must recognize are easily (I think) to catagorize. My question is this, are there scanners out there that improve as they go along? For example, that get input somehow confirming correct character recognition so that they add to their repertoire (sp?) of fonts that they can recognize? I don't know if I expressed this very well, but it seems like a good application for a self-learning program, but I'm not sure how the responses could be confirmed or rejected...Curious. maf