TRAFFIC SIGN DETECTION AND RECOGNITION USING DIGITAL IMAGE PROCESSING
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Abstract
In order to make driving safe, building autonomous cars and provide driving assistance it is necessary to build a system which can detect and recognize traffic signs. Advance Driver assistance systems (ADAS) are being developed with an aim to fulfil this need. It works in real time by alerting drivers about the potential problems well in advance or by actuation of a control systems directly. This paper discusses various methodologies for detection and recognition of traffic signs. Multiple methods like color segmentation, histogram equalization, conversion of RGB to HSI model etc. are used for detection phase and SVM classifier, hog features, fuzzy integral etc. are used for recognition phase.
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