ELECTRONIC ONLINE HANDWRITING CHARACTER RECOGNITION SYSTEM USING ARDUINO PLATFORM

Authors

  • A. R. Syafeeza Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia
  • Albert Ngan Ban Chew Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia
  • Muhammad Muhaimin Hilmi Sadari Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia
  • Mohamad Nasriq Kamaruddin Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia
  • Wong Jia Li Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia
  • Zarini Md Zauber Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia

DOI:

https://doi.org/10.11113/jt.v79.10229

Keywords:

Handwriting recognition system, Arduino mega board, Arduino TFT touch screen, XOR bit-wise, character

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%.

References

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Published

2017-10-22

Issue

Section

Science and Engineering

How to Cite

ELECTRONIC ONLINE HANDWRITING CHARACTER RECOGNITION SYSTEM USING ARDUINO PLATFORM. (2017). Jurnal Teknologi, 79(7). https://doi.org/10.11113/jt.v79.10229