Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/482016
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DC FieldValueLanguage
dc.coverage.spatialWireless Communication
dc.date.accessioned2023-05-09T18:25:41Z-
dc.date.available2023-05-09T18:25:41Z-
dc.identifier.urihttp://hdl.handle.net/10603/482016-
dc.description.abstractSince the advent of Deep Learning the handwriting recognition accuracies have achieved new standards. With the newly established standards the main focus is now on collecting standard datasets which represent the general population efficiently. The work presented in this thesis is includes an autonomous methodology for handwritten data collection. For data collection three algorithms have been proposed each of which uses a universal format for handwritten data collection. The collected data consists of Digits, Alphabets and Words of Punjabi Language. These datasets have been statistically proven to be more competitive than existing datasets. For recognition, modifications in Deep Learning algorithms have been proposed which gives a close to accurate recognition accuracy. The proposed methodology is also found to outperform other recent state-of-the-art techniques reported in literature. newline
dc.format.extentxiii, 145p.
dc.languageEnglish
dc.relation-
dc.rightsuniversity
dc.titleAccurate recognition of handwritten Punjabi characters using deep learning techniques
dc.title.alternative
dc.creator.researcherGurpartap Singh
dc.subject.keywordComputer Vision
dc.subject.keywordConvolutional Neural Networks
dc.subject.keywordDeep Learning
dc.subject.keywordHandwriting Recognition
dc.subject.keywordMachine Learning
dc.description.note
dc.contributor.guideAgrawal, Sunil and Sohi, Balwinder Singh
dc.publisher.placeChandigarh
dc.publisher.universityPanjab University
dc.publisher.institutionUniversity Institute of Engineering and Technology
dc.date.registered2015
dc.date.completed2021
dc.date.awarded2023
dc.format.dimensions-
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:University Institute of Engineering and Technology



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