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Feature based Arabic handwriting recognition for teaching illiterates - by Mohammad Amin Abou Harb.

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dc.contributor.author Abou Harb, Mohammad Amin.
dc.date.accessioned 2012-06-13T07:35:26Z
dc.date.available 2012-06-13T07:35:26Z
dc.date.issued 2011
dc.identifier.uri http://hdl.handle.net/10938/8630
dc.description Thesis (M.E.)--American University of Beirut, Department of Electrical and Computer Engineering, 2011.;"Advisor: Dr. Mohamad Adnan Al-Alaoui, Professor, Electrical and Computer Engineering Member of Committee: Dr. Ali Chehab, Associate Professor, Electri
dc.description Includes bibliographical references (leaves 71-75).
dc.description.abstract The thesis develops a system for parsing binary image based on bulks, loops, and lines. The use of these basic features and how they relate to each other evolves into a handwriting recognition system of basic letter features. A side effect of this researc
dc.format.extent xii, 75 leaves : :ill. 30 cm.
dc.language.iso eng
dc.relation.ispartof Theses, Dissertations, and Projects
dc.subject.classification ET:005495
dc.subject.lcsh Writing, Arabic) -- Identification -- Data processing.
dc.subject.lcsh Arabic language -- Writing -- Identification -- Data processing.
dc.title Feature based Arabic handwriting recognition for teaching illiterates - by Mohammad Amin Abou Harb.
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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