Recognition of handwritten Arabic (Indian) numerals using skeleton matching

Bassam Alqaralleh, Malek Zakarya Alksasbeh, Tamer Abukhalil, Harbi Almahafzah, Tawfiq Al Rawashdeh
2020 Indonesian Journal of Electrical Engineering and Computer Science  
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
more » ... ach 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 %.
doi:10.11591/ijeecs.v19.i3.pp1461-1468 fatcat:gfwc27cslrawxa7vj3cjjmrzdm