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Sensors 2015, 15(1), 2161-2180; doi:10.3390/s150102161

Fast Traffic Sign Recognition with a Rotation Invariant Binary Pattern Based Feature

Institute of Microelectronics, Tsinghua University, Beijing 100084, China
Department of Computing, Imperial College, London SW7 2AZ, UK
Author to whom correspondence should be addressed.
Received: 19 October 2014 / Accepted: 26 December 2014 / Published: 19 January 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [1476 KB, uploaded 19 January 2015]   |  


Robust and fast traffic sign recognition is very important but difficult for safe driving assistance systems. This study addresses fast and robust traffic sign recognition to enhance driving safety. The proposed method includes three stages. First, a typical Hough transformation is adopted to implement coarse-grained location of the candidate regions of traffic signs. Second, a RIBP (Rotation Invariant Binary Pattern) based feature in the affine and Gaussian space is proposed to reduce the time of traffic sign detection and achieve robust traffic sign detection in terms of scale, rotation, and illumination. Third, the techniques of ANN (Artificial Neutral Network) based feature dimension reduction and classification are designed to reduce the traffic sign recognition time. Compared with the current work, the experimental results in the public datasets show that this work achieves robustness in traffic sign recognition with comparable recognition accuracy and faster processing speed, including training speed and recognition speed. View Full-Text
Keywords: traffic sign recognition; binary pattern; SIFT; artificial neutral network traffic sign recognition; binary pattern; SIFT; artificial neutral network

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Yin, S.; Ouyang, P.; Liu, L.; Guo, Y.; Wei, S. Fast Traffic Sign Recognition with a Rotation Invariant Binary Pattern Based Feature. Sensors 2015, 15, 2161-2180.

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