Printed Arabic Text Recognition Algorithms.(Dept.E)
نویسندگان
چکیده
منابع مشابه
Printed Arabic Text Recognition using Linear and Nonlinear Regression
Arabic language is one of the most popular languages in the world. Hundreds of millions of people in many countries around the world speak Arabic as their native speaking. However, due to complexity of Arabic language, recognition of printed and handwritten Arabic text remained untouched for a very long time compared with English and Chinese. Although, in the last few years, significant number ...
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........................................................................................................................ i Acknowledgements ...................................................................................................... ii Table of
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This paper describes a system for the recognition of Arabic text in document images. The system is designed to perform well on low resolution and low quality document images. On a set of 138 page images digitized at 200x200 dpi the system achieved a 93% correct character recognition rate. On the same pages digitized at 100x200 dpi, the system achieved an 89% character recognition rate. The syst...
متن کاملArabic Text Recognition
The issue of handwritten character recognition is still a big challenge to the scientific community. Several approaches to address this challenge have been attempted in the last years, mostly focusing on the English pre-printed or handwritten characters space. Thus, the need to attempt a research related to Arabic handwritten text recognition. Algorithms based on neural networks have proved to ...
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Electronic Document Management (EDM) technology is being widely adopted as it makes for the efficient routing and retrieval of documents. Optical Character Recognition (OCR) is an important front end for such technology. Excellent OCR now exists for Latin based languages, but there are few systems that read Arabic, which limits the penetration of EDM into Arabicspeaking countries. In developing...
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ژورنال
عنوان ژورنال: MEJ. Mansoura Engineering Journal
سال: 2021
ISSN: 2735-4202
DOI: 10.21608/bfemu.2021.171297