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dc.contributor.authorLim, Ker-chin
dc.contributor.authorOrtega-Sanchez, Cesar
dc.identifier.citationLim, Ker-chin and Ortega-Sanchez, Cesar. 2006. : Micro Neural-Controller for Optical Character Recognition, in ., Murdoch University (ed), Postgraduate Electrical Engineering and Computing Symposium, Nov 07 2006, pp. 145-148. Murdoch University, WA: Murdoch University.

This paper presents a Micro-Neural Controller (MNC) for Optical Character Recognition (OCR). The controller consists of both a multilayered feedforward Artificial Neural Network (ANN) and a von Neumann-type microcontroller. The ANN is supervised and trained using back-propagation. The role of the ANN is to perform character recognition while the microcontroller coordinates the data transfer between the network and the user. The results show that the network recognizes the patterns effectively and the microcontroller is able to execute a demonstration program.

dc.publisherMurdoch University
dc.subjectembedded systems
dc.subjectNeural networks
dc.titleMicro Neural-Controller for Optical Character Recognition
dc.typeConference Paper
dcterms.source.titleProcs. 7th Postgraduate Electrical Engineering and Computing Symposium
dcterms.source.seriesProcs. 7th Postgraduate Electrical Engineering and Computing Symposium
dcterms.source.conferencePostgraduate Electrical Engineering and Computing Symposium
dcterms.source.conference-start-dateNov 07 2006
dcterms.source.conferencelocationMurdoch University, WA
dcterms.source.placePerth, WA
curtin.accessStatusOpen access
curtin.facultyFaculty of Engineering and Computing
curtin.facultyDepartment of Electrical and Computer Engineering
curtin.facultyDivision of Engineering, Science and Computing

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