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 |