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REAL TIME DETECTION AND RECOGNITATION OF ROAD TREFFIC SIGNS
Manoj Kumar Adabala, S. Deva Karun

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 5, Issue-2, pp.11-17, Feb 2018
DPI :-> 16.10046.IJCESR.2018.V5I2.1117.2359



Abstract
This paper focuses primarily on traffic sign detection and identity systems placed on roads and roads. This system aims to deal with real-time traffic signal identification, that is, the type of traffic sign in any area of any input image during fast processing. Our identification module relies on the proposed extraction and classification of traffic signals built on the color probability model of the HAAR feature, which is the compilation and color histogram (HOG) of oriented gradients .The RGB will apply to the hog technique before the original image becomes gray. Then the support vector machine (SVM) is derived from the result and is compared to the database. At the same time, the fuzzy c cluster (FCM) technology received the same output from the above results, and can later be compared to the database images .By identifying the traffic signal using the shape of the paper's earlier execution. However, the design-based traffic signal recognition failed to detect the traffic sign in different weather conditions. By using this method, the accuracy of identifying signals may be improved. Dynamic update of new signals can also be done. The task of this task is to locate and locate the traffic sign without any defect.

Key-Words / Index Term
TREFFIC SIGNS

How to cite this article
Manoj Kumar Adabala, S. Deva Karun , “REAL TIME DETECTION AND RECOGNITATION OF ROAD TREFFIC SIGNS”, International Journal of Current Engineering And Scientific Research ( IJCESR), 5, Issue-2, pp.11-17, Feb 2018. DPI:16.10046.IJCESR.V5.I2.2359