A System for offline interpretation of handwritten characters based on first stroke based self training in neural networks

dc.contributor.guide	Shanthi, V
dc.coverage.spatial	Neural Networks
dc.creator.researcher	Magesh, K
dc.date.accessioned	2022-12-19T06:00:58Z
dc.date.available	2022-12-19T06:00:58Z
dc.date.awarded	2019
dc.date.completed	2019
dc.date.registered	2013
dc.description.abstract	newline File Attached
dc.description.note	Self training, Neural networks
dc.format.accompanyingmaterial	CD
dc.format.dimensions
dc.format.extent	i-xv, 1-180
dc.identifier.uri	http://hdl.handle.net/10603/428278
dc.language	English
dc.publisher.institution	Department of Computer Science and Applications
dc.publisher.place	Kanchipuram
dc.publisher.university	Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
dc.relation	Bibliography Pp.135-142
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Interdisciplinary Applications
dc.subject.keyword	Engineering and Technology
dc.title	A System for offline interpretation of handwritten characters based on first stroke based self training in neural networks
dc.title.alternative
dc.type.degree	Ph.D.