Publication Type : Conference Proceedings
Publisher : Proceedings of the International Conference on Soft Computing Systems, Part of the Advances in Intelligent Systems and Computing book series (AISC), Springer India.
Source : Proceedings of the International Conference on Soft Computing Systems, Part of the Advances in Intelligent Systems and Computing book series (AISC), Springer India, Volume 38, New Delhi (2016)
Url : https://link.springer.com/chapter/10.1007/978-81-322-2674-1_39
ISBN : 9788132226741
Keywords : Hough transform, Hue, Polygonal approximation, Road traffic accidents (RTA), Saturation, Scale invariant feature transformation, Value .
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2016
Abstract : The paper presents a safety and comfort driving assistance system to help driver in analyzing the road sign boards. The system assists the drivers by detecting and recognizing the sign boards along roadside from a moving vehicle. Signboards are detected using color and shape detection techniques, and they are recognized by matching the extracted scale invariant features with the features in the database. The proposed method based on SIFT feature detects 90 {%} of road sign boards accurately. Experimental analysis carried out using C/C++ and Open CV Libraries shows better performance in detecting and recognizing sign boards when real-time video frames are given as input.
Cite this Research Publication : P. Sathish and D. Bharathi, “Automatic Road Sign Detection and Recognition Based on SIFT Feature Matching Algorithm”, Proceedings of the International Conference on Soft Computing Systems, Part of the Advances in Intelligent Systems and Computing book series (AISC), vol. 38. Springer India, New Delhi, 2016.