Optical character recognition : an approach using self- adjusting segmentation of a matrix

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dc.contributor.advisor Fuelling, Clinton P. en_US
dc.contributor.author Kirkpatrick, Michael G. en_US
dc.date.accessioned 2011-06-03T19:37:48Z
dc.date.available 2011-06-03T19:37:48Z
dc.date.created 1997 en_US
dc.date.issued 1997
dc.identifier LD2489.Z78 1997 .K57 en_US
dc.identifier.uri http://cardinalscholar.bsu.edu/handle/handle/185835
dc.description.abstract The problem of optical pattern recognition is a broad one. It ranges from identifying shapes in aerial photographs to recognizing letters in hand or machine printed words. This thesis examines many of the issues relating to pattern recognition and, specifically, those pertaining to the optical recognition of characters. It discusses several approaches to various parts of the problem as an illustration of the variety of methods of attack. Some of the particular strengths and weaknesses of those approaches are discussed as well. Finally, a new method of approaching OCR is introduced, developed, and studied. At the conclusion, the study is summarized, the results are examined, and suggestions are made for continued research.
dc.description.sponsorship Department of Computer Science
dc.format.extent vi, 127 leaves : ill. ; 28 cm. en_US
dc.source Virtual Press en_US
dc.subject.lcsh Optical pattern recognition. en_US
dc.subject.lcsh Image processing -- Computer programs. en_US
dc.subject.lcsh Image processing -- Digital techniques. en_US
dc.subject.lcsh Optical character recognition devices. en_US
dc.title Optical character recognition : an approach using self- adjusting segmentation of a matrix en_US
dc.description.degree Thesis (M.S.)
dc.identifier.cardcat-url http://liblink.bsu.edu/catkey/1048390 en_US


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  • Master's Theses [5510]
    Master's theses submitted to the Graduate School by Ball State University master's degree candidates in partial fulfillment of degree requirements.

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