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dc.contributor.authorHarmandeep Kaur-
dc.contributor.authorSupervisor: Kumar, Munish-
dc.date.accessioned2023-02-06T10:09:03Z-
dc.date.available2023-02-06T10:09:03Z-
dc.date.issued2021-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/384-
dc.description.abstractOptical Character Recognition (OCR) is the technique used to recognize characters from the digitized image of the scanned text documents. Handwritten word recognition principally necessitates OCR in order to recognize handwritten words from the digitized image of a document. OCR upgrades the interface between man and machine in various application areas like postal automation, data entry, bank automation, etc. The main goal of this thesis was to develop an offline handwritten Gurumukhi word recognition system for postal automation. Gurumukhi is the script employed to write the Punjabi language which is the official language of Punjab state of India and is generally spoken in the northern regions of India.en_US
dc.language.isoenen_US
dc.publisherMRSPTU, Bathindaen_US
dc.subjectComputer Applicationsen_US
dc.titleDevelopment of Offline Handwritten Gurumukhi Word Recognition System for Postal Automationen_US
dc.typeThesisen_US
Appears in Collections:Ph.D Thesis

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01_title.pdfTitle35.92 kBAdobe PDFView/Open
02_prelim pages.pdfPreliminary Pages298.04 kBAdobe PDFView/Open
03_content.pdfContent134.11 kBAdobe PDFView/Open
05_chapter 1.pdfChapter 1255.13 kBAdobe PDFView/Open
06_chapter 2.pdfChapter 2566.83 kBAdobe PDFView/Open
07_chapter 3.pdfChapter 3285.95 kBAdobe PDFView/Open
08_chapter 4.pdfChapter 4318.79 kBAdobe PDFView/Open
09_chapter 5.pdfChapter 5390.02 kBAdobe PDFView/Open
10_chapter 6.pdfChapter 6378.62 kBAdobe PDFView/Open
11_chapter 7.pdfChapter 7322.55 kBAdobe PDFView/Open
12_chapter 8.pdfChapter 823.93 kBAdobe PDFView/Open
13_annexures.pdfAnnexures437.63 kBAdobe PDFView/Open


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