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Deanship of Graduate Studies
Document Details
Document Type
:
Thesis
Document Title
:
AUTOMATING BUILDING OF OCR ON WEB SERVICES
أوتماتكية بناء OCR على خدمات الويب
Subject
:
Faculty of Computing and Information Technology
Document Language
:
Arabic
Abstract
:
Optical Character Recognition (OCR) is a computer system designed to transform images of typewritten text (typically captured by a scanner) into machine-processed text. Arabic OCR has been developed and enhanced over decades leading to the presence of the enormous number of approaches with robust results that approaching accuracy, in some cases, of approximately 99%. However, existing OCRs exhibit shortages, or at least only sub-sets of them, when they were implemented with new applications, such as low-resolution inputs. In this thesis, we will improve results Optical Character Recognition (OCR) by choose our original image based on (APTI) Arabic Printed Text Image Database. Next, we will improve inputs by processing the images to make them clear and ready to be inserted into the OCR. Then, we will test all Arabic OCR websites online to find the best one which currently exists. Finally, we will create web service that can optimize image effects automatic and insert it to best the Arabic OCR to make the perfect Arabic OCR conversion. In the second hand, our system available for use by other people on the web.
Supervisor
:
Prof. Dr. Kamal M. Jambi
Thesis Type
:
Master Thesis
Publishing Year
:
1439 AH
2018 AD
Added Date
:
Sunday, May 27, 2018
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
لطفيه سعود الحميد
alHamid, Lutfieh Saud
Researcher
Master
Files
File Name
Type
Description
43392.pdf
pdf
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