International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Traffic Signs Classification

Authors: Mr. Amar Singh, Prof. Amol Prakash


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Country: India

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Abstract: In this paper an alternate approach is proposed for traffic sign classifying which will facilitate the undertaking of an Advanced Driver Assistance Systems (ADAS) introduced in various vehicles. The traffic signs are made in such a route along these lines, to the point that it can be identified utilizing its highlights like shading and shape. It is a troublesome undertaking for analysts to precisely classify these traffic signs on the grounds that the order result will be utilized as a part of continuous application and a little arrangement mistake may cost a human life or prompt a basic mishaps. This paper displays a solid structure for the order of various traffic signs. For the effective order this paper used a consolidated Gabor Filter and GLCM approach for highlight extraction and SVM for arrangement. The classifying comes about show that this system can characterize traffic signs with high precision even in difficult circumstance like diverse foundation conditions.

Keywords: ADAS, SVM, SIFT, MATLAB, GLCM, Gabor Filter

Paper Id: 472

Published On: 2019-01-06

Published In: Volume 7, Issue 1, January-February 2019

Cite This: Traffic Signs Classification - Mr. Amar Singh, Prof. Amol Prakash - IJIRMPS Volume 7, Issue 1, January-February 2019. DOI 10.17605/OSF.IO/NMWS8

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