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A Simple, Fast and Cost-Effective Method to Recognize Traffic Signs
Abstract
For accident free and smooth fast driving, the traffic signs play a vital role along with the skill of the driver. The recognition of traffic signs if done by the automated systems, which are fairly accurate and fast enough, it provides the extra edge in efficient navigation. Hence automated recognition of traffic signs is an important issue for driver assistance systems and autonomous navigation systems. In this paper, we proposed a simple three stage approach to detect traffic signs in real-time and recognizes them accurately. Location of sign candidate is divided into two steps i.e. Color segmentation and filtering out of unwanted regions. Shape analysis of detected sign is done for classify it into various categories based on color-shape features. Finally, the information present in traffic sign is recognized by template matching using Correlation coefficients technique. To evaluate the performance of the proposed work, different experiments are conducted in real-time images and the effectiveness of the algorithm has been demonstrated by various experiments. The novel system offers high performance and better accuracy in different illumination and weather conditions.
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References
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