Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/19644
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dc.contributor.authorLeu, Yew Seng.en_US
dc.date.accessioned2009-12-14T06:19:35Z-
dc.date.available2009-12-14T06:19:35Z-
dc.date.copyright1996en_US
dc.date.issued1996-
dc.identifier.urihttp://hdl.handle.net/10356/19644-
dc.description.abstractCharacter Recognition has been a popular focus of pattern recognition research since at least the 1920s. The continuing challenge of commercially viable recognition has kept character recognition research ongoing. How does the human brain recognize different characters ? Which part of the character is it looking for ? What kinds of features do we get when we see a character ? Is there some way we can extract character recognition knowledge from humans, who have become such superb character recognizersen_US
dc.format.extent118 p.en_US
dc.language.isoen-
dc.rightsNANYANG TECHNOLOGICAL UNIVERSITYen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing-
dc.titleAutomated character recognition and inspectionen_US
dc.typeThesisen_US
dc.contributor.supervisorToh, Peng Sengen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Computer Control and Automation)en_US
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