Off-line optical character recognition system for Arabic handwritten text
Other Title(s)
نظام التعرف بالحاسوب على الحروف العربية المكتوبة بخط اليد
Author
Fadil, Muhammad Abd al-Salam Ali
Source
مجلة جامعة سبها للعلوم البحتة و التطبيقية
Publisher
Publication Date
2019-12-31
Country of Publication
Libya
No. of Pages
6
Main Subjects
Information Technology and Computer Science
English Abstract
This paper introduces an Optical Character Recognition (OCR) system, where different stages; pre-processing, thinning, segmentation, features extraction, classification and recognition were designed, tested and implemented in the overall system.
Learning Vector Quantization algorithm was first used as classifier for Arabic handwritten characters recognition.
Two classification strategies were performed; one classifier for all Arabic Alphabets and three classifier (one for ascenders, one for descenders and one for embedded).
The later strategy was adopted in classification stage of the proposed system.
Numbers of experiments were run on different samples of Arabic handwritten scripts for different writers, a very satisfactory recognition accuracy was obtained.
Data Type
Conference Papers
Record ID
BIM-1200614
American Psychological Association (APA)
Fadil, Muhammad Abd al-Salam Ali. 2019-12-31. Off-line optical character recognition system for Arabic handwritten text. . Vol. 18, no. 4 (2019), pp.41-46.Sabha Murzuq : Sabha University.
https://search.emarefa.net/detail/BIM-1200614
Modern Language Association (MLA)
Fadil, Muhammad Abd al-Salam Ali. Off-line optical character recognition system for Arabic handwritten text. . Sabha Murzuq : Sabha University. 2019-12-31.
https://search.emarefa.net/detail/BIM-1200614
American Medical Association (AMA)
Fadil, Muhammad Abd al-Salam Ali. Off-line optical character recognition system for Arabic handwritten text. .
https://search.emarefa.net/detail/BIM-1200614