Abjad= أبجد. (c2002)

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dc.contributor.author Zabadani, Hisham
dc.date.accessioned 2011-11-16T08:41:34Z
dc.date.available 2011-11-16T08:41:34Z
dc.date.copyright 2002 en_US
dc.date.issued 2011-11-16
dc.date.submitted 2002-05
dc.identifier.uri http://hdl.handle.net/10725/992
dc.description Includes bibliographical references (leaves 60-63). en_US
dc.description.abstract In this work we present a system for the recognition of handwritten Arabic text using neural networks. This work builds upon previous work done by [Hamid 2001]. That part dealt with the vertical segmentation of the written text. However, faced with some problems like overlapping characters that share the same vertical space, we tried to fix that problem by performing horizontal segmentation. In this research we will use two basic neural networks to perform the task; the first one to identify blocks that need to be horizontally segmented, and the second one to perform the horizontal segmentation. Both networks use a set of features that are extracted using a heuristic program. The system was tested with over 1500 characters (each character has on average about 50 rows) and the rate of recognition obtained was over 90%. This strongly supports the usefulness of proposed measures for handwritten Arabic text. en_US
dc.language.iso en en_US
dc.subject Arabic alphabet en_US
dc.subject Neural networks (Computer science) en_US
dc.subject Optical character recognition devices en_US
dc.subject Optical data processing en_US
dc.subject Artificial intelligence en_US
dc.subject Neural computers en_US
dc.title Abjad= أبجد. (c2002) en_US
dc.type Thesis en_US
dc.title.subtitle An offline Arabic handwritten recognition system en_US
dc.term.submitted Spring en_US
dc.author.degree MS in Computer Science en_US
dc.author.school Arts and Sciences en_US
dc.author.idnumber 199612000 en_US
dc.author.commembers Dr. Nash'at Mansour
dc.author.commembers Dr. May Abboud
dc.author.woa RA en_US
dc.description.physdesc 1 bound copy: iv, 63 leaves; ill. (some col.); 30 cm. Available at RNL. en_US
dc.author.division Computer Science en_US
dc.author.advisor Dr. Ramzi Haraty
dc.identifier.doi https://doi.org/10.26756/th.2002.20 en_US
dc.publisher.institution Lebanese American University en_US

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