Electronic Online Handwriting Character Recognition System Using Arduino Platform

Ahmad Radzi, Syafeeza and Ngan, Albert Ban Chew and Mohd Sadari, Muhammad Muhaimin Hilmi and Kamaruddin, Mohamad Nasriq and Wong, Jia Li and Md Zauber, Zarini (2017) Electronic Online Handwriting Character Recognition System Using Arduino Platform. Jurnal Teknologi, 79 (7). pp. 51-59. ISSN 0127-9696

[img] Text
Electronic Online Handwriting Character Recognition.pdf - Published Version
Restricted to Registered users only

Download (771kB)

Abstract

This paper proposes an online prototype approach of handwriting character recognition system using a microcontroller. The main contribution of this work is the simple method of translating a handwriting input from analog to a digital font using XOR bit-wise operation. This system recognizes characters and numbers in natural handwriting with a stylus. This electronic system is used to improve the technology from the use of a bulky keyboard system to a portable and convenient way which is more suitable for smaller electronic devices nowadays such as smart phone, tablet and etc. In order to construct the system, a Arduino Mega is used as the microcontroller along with the Arduino TFT Touch Shield and an LCD screen as the input and output respectively as the hardware components. For the software part, this system uses C language and Arduino software (IDE). The recognition result achieved is 80.0%.

Item Type: Article
Uncontrolled Keywords: Sistem pengecaman tulisan tangan, Arduino mega board, Arduino TFT skrin sentuh, XOR secara-bit, aksara
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electronics and Computer Engineering > Department of Computer Engineering
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 28 May 2018 07:51
Last Modified: 09 Jul 2021 12:58
URI: http://eprints.utem.edu.my/id/eprint/20865
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item