Segmentation and recognition of handwritten Arabic text under totally or quasi supervised scenarios

dc.contributor.guide	Nagabhushan, P.
dc.coverage.spatial
dc.creator.researcher	Ghaleb, Hashem Ali Mohammed
dc.date.accessioned	2021-03-15T10:02:42Z
dc.date.available	2021-03-15T10:02:42Z
dc.date.awarded	2020
dc.date.completed	2019
dc.date.registered
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/318371
dc.language	English
dc.publisher.institution	Department of Studies in Computer Science
dc.publisher.place	Mysore
dc.publisher.university	University of Mysore
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Arabic Text
dc.subject.keyword	Computer Science
dc.subject.keyword	Correlation-Entropy Features
dc.subject.keyword	Document Image Analysis
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Histogram Features
dc.subject.keyword	Imaging Science and Photographic Technology
dc.subject.keyword	Quasi Supervised Recognition
dc.subject.keyword	Spatio partitioning
dc.title	Segmentation and recognition of handwritten Arabic text under totally or quasi supervised scenarios
dc.title.alternative
dc.type.degree	Ph.D.