Recognition of handwritten Arabic (Indian) numerals using skeleton matching

This paper brings into discussion the problem of recognizing Arabic numbers using a monocular camera as the only sensor. When a digital image is presented in this application, optical character recognition (OCR) can be exploited to comprehend numerical data. However, there has been a limited success...

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Main Authors: Alqaralleh, Bassam (Author), Alksasbeh, Malek Zakarya (Author), Abukhalil, Tamer (Author), Almahafzah, Harbi (Author), Al Rawashdeh, Tawfiq (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2020-09-01.
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LEADER 02166 am a22003373u 4500
001 ijeecs20801_14134
042 |a dc 
100 1 0 |a Alqaralleh, Bassam  |e author 
100 1 0 |e contributor 
700 1 0 |a Alksasbeh, Malek Zakarya  |e author 
700 1 0 |a Abukhalil, Tamer  |e author 
700 1 0 |a Almahafzah, Harbi  |e author 
700 1 0 |a Al Rawashdeh, Tawfiq  |e author 
245 0 0 |a Recognition of handwritten Arabic (Indian) numerals using skeleton matching 
260 |b Institute of Advanced Engineering and Science,   |c 2020-09-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20801 
520 |a This paper brings into discussion the problem of recognizing Arabic numbers using a monocular camera as the only sensor. When a digital image is presented in this application, optical character recognition (OCR) can be exploited to comprehend numerical data. However, there has been a limited success when applied to the handwritten Arabic (Indian) numbers. This paper aims to overcome this limitation and introduces optical character recognition system based on skeleton matching. The proposed approach is used for handwritten Arabic numbers only. The experimental results indicate the effectiveness of the proposed optical character recognition system even for numbers written in worst case. The right system achieves a recognition rate of 99.3 %. 
540 |a Copyright (c) 2020 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Image Recognition; Optical Character Recognition; Skeleton Matching;Hand Written Arabic Number 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 19, No 3: September 2020; 1461-1468 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v19.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20801/14134 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20801/14134  |z Get fulltext