Logo
  1. IR@JU
  2. Faculty Council of Engineering & Technology
  3. Department of Computer Science & Engineering
  4. Dissertations
Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/2710
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorDas, Nibaran-
dc.contributor.authorSarkhel, Ritesh-
dc.date.accessioned2023-06-09T07:08:16Z-
dc.date.available2023-06-09T07:08:16Z-
dc.date.issued2016-
dc.date.submitted2016-
dc.identifier.otherDC3167-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/2710-
dc.format.extent108p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectscript independent character recognitionen_US
dc.subjectmulti-scale deep quad treeen_US
dc.subjecthandwritten Indic charactersen_US
dc.subjectfeature extractionen_US
dc.subjectoptical character recognition(OCR)en_US
dc.titleA script independent multi-scale deep quad tree based feature extraction technique for recognition of handwritten Indic charactersen_US
dc.typeTexten_US
dc.departmentJadavpur University. Computer Science & Engineeringen_US
Appears in Collections:Dissertations

Files in This Item:
File Description SizeFormat 
M.E. (Computer Science & Engineering) Ritesh Sarkhel.pdf2.7 MBAdobe PDFView/Open
Show simple item record


Items in IR@JU are protected by copyright, with all rights reserved, unless otherwise indicated.