Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/419894
Title: Development of Offline Handwritten Gurumukhi Word Recognition System for Postal Automation
Researcher: HARMANDEEP KAUR
Guide(s): Kumar, Munish
Keywords: Automation and Control Systems
Computer Science
Engineering and Technology
University: Maharaja Ranjit Singh Punjab Technical University
Completed Date: 2021
Abstract: Optical 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. newline
Pagination: 
URI: http://hdl.handle.net/10603/419894
Appears in Departments:Department of Computational Sciences

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01-title.pdfAttached File35.92 kBAdobe PDFView/Open
02-preliminary.pdf298.04 kBAdobe PDFView/Open
03-content.pdf134.11 kBAdobe PDFView/Open
04-abstract.pdf18.08 kBAdobe PDFView/Open
05-chapter 1.pdf255.13 kBAdobe PDFView/Open
06-chapter 2.pdf566.83 kBAdobe PDFView/Open
07-chapter 3.pdf285.95 kBAdobe PDFView/Open
08-chapter 4.pdf318.79 kBAdobe PDFView/Open
09-chapter 5.pdf390.02 kBAdobe PDFView/Open
10-chapter 6.pdf378.62 kBAdobe PDFView/Open
11-chapter 7.pdf322.55 kBAdobe PDFView/Open
12-chapter 8.pdf23.93 kBAdobe PDFView/Open
13-annexures.pdf437.63 kBAdobe PDFView/Open
80_recommendation.pdf62.55 kBAdobe PDFView/Open
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