Malaysian Traffic Sign Dataset for Traffic Sign Detection and Recognition Systems

Authors

  • Ahmed Madani Arab Academy for Science, Technology and Maritime Transport, Cairo, Egypt.
  • Rubiyah Yusof Center for Artificial Intelligence & Robotics, Malaysia Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia.

Keywords:

Traffic Sign Detection and Recognition, Traffic Sign Dataset, German TSDR Benchmark, Synthetic Digital Images

Abstract

Traffic Sign Detection and Recognition (TSDR) plays a crucial role in driver assistance systems, and provides drivers with safety and precaution information. It is part of the computer vision which requires a dataset for training and testing the detection and recognition techniques. In this paper, a dataset for Malaysian TS (MTSD) is proposed in order to eliminate the gap in the previously created datasets. The MTSD includes a variety of TS scenes to be used in TS detection and images contain only TS to assist in the recognition of TS.

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Published

2016-12-01

How to Cite

Madani, A., & Yusof, R. (2016). Malaysian Traffic Sign Dataset for Traffic Sign Detection and Recognition Systems. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(11), 137–143. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1423

Issue

Vol. 8 No. 11: Artificial Intelligence and Robotics

Section

Articles

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