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MATLAB interactive pattern analysis and classification system with application to handwritten OCR - by Jalal Ahmad Ali

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dc.contributor.author Al Ahmad, Jalal
dc.date.accessioned 2012-06-13T06:42:27Z
dc.date.available 2012-06-13T06:42:27Z
dc.date.issued 1995
dc.identifier.uri http://hdl.handle.net/10938/4974
dc.description Thesis (M.E.)--Dept. of Electrical and Computer Engineering, A.U.B., 1995.;"Advisor: Dr. Mohamad Akra, Assistant Professor, Electrical and Computer Engineering -- Members of Committee: Dr. Mohamad Adnan Al-Alaoui, Professor, Electrical and Computer Engine
dc.description Bibliography: leaves 141-146.
dc.description.abstract Pattern Recognition is not a new subject. Its principles and methodologies have for many years influenced the course of technological development in almost every knowledge-based field. No single model exists for all pattern recognition problems, and no si
dc.format.extent xiii, 146 leaves : ill. 30 cm. + 1 supplement (64 leaves) + 2 computer disks (3 1-2 in.)
dc.language.iso eng
dc.relation.ispartof Theses, Dissertations, and Projects
dc.subject.classification ET:003632 AUBNO
dc.subject.lcsh Pattern recognition systems.
dc.subject.lcsh Optical character recognition.
dc.title MATLAB interactive pattern analysis and classification system with application to handwritten OCR - by Jalal Ahmad Ali
dc.title.alternative Guide for operators and users of IPACS;Interactive pattern analysis
dc.type Thesis
dc.contributor.department American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering


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