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 |
Files in This Item:
File | Description | Size | Format | |
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01-title.pdf | Attached File | 35.92 kB | Adobe PDF | View/Open |
02-preliminary.pdf | 298.04 kB | Adobe PDF | View/Open | |
03-content.pdf | 134.11 kB | Adobe PDF | View/Open | |
04-abstract.pdf | 18.08 kB | Adobe PDF | View/Open | |
05-chapter 1.pdf | 255.13 kB | Adobe PDF | View/Open | |
06-chapter 2.pdf | 566.83 kB | Adobe PDF | View/Open | |
07-chapter 3.pdf | 285.95 kB | Adobe PDF | View/Open | |
08-chapter 4.pdf | 318.79 kB | Adobe PDF | View/Open | |
09-chapter 5.pdf | 390.02 kB | Adobe PDF | View/Open | |
10-chapter 6.pdf | 378.62 kB | Adobe PDF | View/Open | |
11-chapter 7.pdf | 322.55 kB | Adobe PDF | View/Open | |
12-chapter 8.pdf | 23.93 kB | Adobe PDF | View/Open | |
13-annexures.pdf | 437.63 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 62.55 kB | Adobe PDF | View/Open |
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