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dc.contributor.authorDargan, Shaveta-
dc.contributor.authorSupervisor: Kumar, Munish-
dc.date.accessioned2023-02-06T10:25:08Z-
dc.date.available2023-02-06T10:25:08Z-
dc.date.issued2021-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/389-
dc.description.abstractOver the last few years, a good number of laboratories all over the world have been involved in the research on the offline handwritten text. Pattern Recognition is the process of automated recognition of patterns and regularities in the data by using machine learning techniques. The development of the writer identification and gender classification systems based on behavior biometric traits i.e., handwritten text in the Gurumukhi script is the prime objective of this Ph.D. work. The development of a framework for gender classification in Gurumukhi script is a novel achievement in concern with the Indic scripts as previously no recognized work has been available so far and the development for writer identification with large datasets and with improved and enhanced accuracy rate is also a remarkable attempt as compared to state-of-the-art work. Numerous challenging and stimulating applications based on gender classification and writer identification are forensic investigations, criminal detection, questioned documents, signature identification and verification, forgery detection and so on.en_US
dc.language.isoenen_US
dc.publisherMRSPTU, Bathindaen_US
dc.subjectComputer Applicationsen_US
dc.titleDevelopment of Gender Classification and Writer Identification Systems For Offline Handwritten Gurumukhi Texten_US
dc.typeThesisen_US
Appears in Collections:Ph.D Thesis

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01_title.pdfTitle165.51 kBAdobe PDFView/Open
02_prelim pages.pdfPreliminary Pages741.37 kBAdobe PDFView/Open
03_content.pdfContent143.12 kBAdobe PDFView/Open
05_chapter 1.pdfChapter 11.49 MBAdobe PDFView/Open
06_chapter 2.pdfChapter 2481.33 kBAdobe PDFView/Open
07_chapter 3.pdfChapter 31.95 MBAdobe PDFView/Open
08_chapter 4.pdfChapter 41.02 MBAdobe PDFView/Open
09_chapter 5.pdfChapter 5679.23 kBAdobe PDFView/Open
10_chapter 6.pdfChapter 6921.49 kBAdobe PDFView/Open
11_chapter 7.pdfChapter 7473.45 kBAdobe PDFView/Open
12_chapter 8.pdfChapter 8717.94 kBAdobe PDFView/Open
13_annexures.pdfAnnexures1.19 MBAdobe PDFView/Open


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