Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/420368
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Electronics and Electrical Engineering | |
dc.date.accessioned | 2022-11-24T11:07:43Z | - |
dc.date.available | 2022-11-24T11:07:43Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/420368 | - |
dc.description.abstract | An unconstrained writer independent large vocabulary online handwritten word recognition system can be developed by modeling the basic recognition unit of the script The basic recognition unit or the basic unit for brevity represents the set of patterns characters strokes for which the handwriting models are created This thesis focuses on developing novel methods for basic unit modeling in online handwriting recognition Three different directions of work are presented in this thesis for newline newline | |
dc.format.extent | Not Available | |
dc.language | English | |
dc.relation | Not Available | |
dc.rights | self | |
dc.title | Novel approaches for basic unit modeling in online handwriting recognition | |
dc.title.alternative | Not available | |
dc.creator.researcher | Mandal, Subhasis | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Electrical and Electronic | |
dc.description.note | Not Available | |
dc.contributor.guide | Prasanna, S R Mahadeva and Sundaram, Suresh | |
dc.publisher.place | Guwahati | |
dc.publisher.university | Indian Institute of Technology Guwahati | |
dc.publisher.institution | DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING | |
dc.date.registered | 2013 | |
dc.date.completed | 2019 | |
dc.date.awarded | 2019 | |
dc.format.dimensions | Not Available | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING |
Files in This Item:
File | Description | Size | Format | |
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01_fulltext.pdf | Attached File | 6.16 MB | Adobe PDF | View/Open |
04_abstract.pdf | 280.78 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 104.41 kB | Adobe PDF | View/Open |
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