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Indian Traffic Sign Detection and Recognition

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Abstract

Traffic Sign Recognition system is a very significant part of the Intelligent Transportation System, as traffic signs assist the drivers to drive more carefully and professionally. The main aim of this work is to present an efficient approach for detection and recognition of Indian traffic signs. Information regarding color and geometrical shape of traffic signs are utilized by the system for localizing the traffic sign in the acquired image. An RGB color saliency attention model of traffic sign makes use of an algorithm, which discriminates the sign candidate from other objects. Morphological shape filter is exploited for extracting the geometrical information of the traffic sign. Nearest neighbor matching-based recognition is performed between localized candidate features and stored Indian traffic sign database (ITSD) features. Speed up robust features (SURF) of a traffic sign is used in nearest neighbor matching to find out the resemblance between the traffic signs. System robustness is cross-examined for illumination, scale, rotation variations, similar color and shape variations, a standard data set is also considered to evaluate the system performance. The simulation results illustrate that the proposed system is working effectively under various hazardous condition.

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Acknowledgements

The authors are thankful to the minority affairs, Govt. of India for providing the fellowship (MANF) for this research work.

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  1. Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India

    Altaf Alam & Zainul Abdin Jaffery

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  1. Altaf Alam
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  2. Zainul Abdin Jaffery
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Correspondence to Altaf Alam.

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The authors, Altaf Alam and Zainul Abdin Jaffery, declare that they have no conflict of interest relating to this work and publication.

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Alam, A., Jaffery, Z.A. Indian Traffic Sign Detection and Recognition. Int. J. ITS Res. 18, 98–112 (2020). https://doi.org/10.1007/s13177-019-00178-1

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