Intra color-shape classification for traffic sign recognition

K H Lim; K P Seng; Li-Minn Ang

doi:10.1109/COMPSYM.2010.5685432

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Intra color-shape classification for traffic sign recognition

Conference paper

Peer reviewed

Intra color-shape classification for traffic sign recognition

K H Lim, K P Seng and Li-Minn Ang

2010 International Computer Symposium (ICS2010), pp.642-647

International Computer Symposium (ICS2010), 2010 (Tainan, Taiwan, 16-Dec-2010–18-Dec-2010)

Institute of Electrical and Electronics Engineers

2010

DOI: https://doi.org/10.1109/COMPSYM.2010.5685432

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Abstract

Advanced driver assistance system

Classificaiton

Traffic sign recognition

This paper presents a novel traffic sign recognition system comprising of: (i) Color/shape classification, (ii) Pictogram extraction, (iii) Features selection and, (iv) Lyapunov Theory-based Radial Basis Function neural network (RBFNN). In the proposed system, traffic signs are first segmented and classified with regard to its unique color and shape in order to partition a large set of data into smaller subclasses. Within these subclasses, all redundant information except the pictogram is discarded for feature selection since the pictogram contains critical information for road users. Principle Component Analysis (PCA) is applied to extract salient points for traffic sign dimensionality reduction. This is followed by the Fisher's Linear Discriminant (FLD) to further obtain the most discriminant features. These features are fed into RBFNN for training with a proposed weight updating scheme based on Lyapunov stability theory. The performance of the proposed system is evaluated with Malaysian road signs with promising recognition rate.

Details

Title: Intra color-shape classification for traffic sign recognition
Authors: K H Lim (Author) - University of Nottingham Malaysia Campus
K P Seng (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - University of Nottingham Malaysia Campus
Publication details: 2010 International Computer Symposium (ICS2010), pp.642-647
Conference details: International Computer Symposium (ICS2010), 2010 (Tainan, Taiwan, 16-Dec-2010–18-Dec-2010)
Publisher: Institute of Electrical and Electronics Engineers
Date published: 2010
DOI: 10.1109/COMPSYM.2010.5685432
ISBN: 9781424476404
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513901502621
Output Type: Conference paper

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