Nguwi, Yok-Yen, Teoh, Teik-Toe, Song, Insu, and Cho, Siu-Yeung (2010) Real-time road sign recognition. Australian journal of intelligent information processing systems, 12 (4). pp. 36-40.

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Abstract

An automatic road sign recognition system locates road sign of interest within images captured by an imaging sensor on-board of a vehicle, and then identifies road signs assisting the driver of the vehicle to properly operate the vehicle. This paper presents a real-time road sign recognition system that can be used to improve road safety. The developed system is capable of analysing live road scene images, detecting multiple road signs within each image, and classifying the type of road signs detected. The experimental results demonstrate that the system is capable of achieving an average recognition hit-rate of 95%. This work is targeted towards the development of an efficient and intelligent road sign recognition system. The system is capable of locating the road sign region using derivative-based filtering, and classifying road sign through the use of support vector machine classifier.

Item ID:	22462
Item Type:	Article (Research - C1)
ISSN:	1321-2133
Keywords:	road sign, naive bayesian, detection
Date Deposited:	19 Sep 2012 01:27
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 100%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100%
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