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dc.contributor.authorBiswas, Rubel
dc.contributor.authorFleyeh, Hasan
dc.contributor.authorMostakim, Moin
dc.identifier.citationBiswas, R., Fleyeh, H., & Mostakim, M. (2014). Detection and classification of speed limit traffic signs. Paper presented at the 2014 World Congress on Computer Applications and Information Systems, WCCAIS 2014, doi:10.1109/WCCAIS.2014.6916605en_US
dc.descriptionThis conference paper was presented in the World Congress on Computer Applications and Information Systems, WCCAIS 2014; Hammamet; Tunisia; 17 January 2014 through 19 January 2014 [© 2014 IEEE] The conference paper's definite version is available at:
dc.description.abstractThis paper presents a novel traffic sign recognition system which can aid in the development of Intelligent Speed Adaptation. This system is based on extracting the speed limit sign from the traffic scene by Circular Hough Transform (CHT) with the aid of colour and non-colour information of the traffic sign. The digits of the speed limit sign are then extracted and classified using SVM classifier which is trained for this purpose. In general, the system detects the prohibitory traffic sign in the first place, specifies whether the detected sign is a speed limit sign, and then determines the allowed speed in case the detected sign is a speed limit sign. The SVM classifier was trained with 270 images which were collected in different light conditions. To check the robustness of this system, it was tested against 210 images which contain 213 speed limit traffic sign and 288 Non- Speed limit signs. It was found that the accuracy of recognition was 98% which indicates clearly the high robustness targeted by this system.en_US
dc.publisher© 2014 Institute of Electrical and Electronics Engineers Inc.en_US
dc.subjectCircular hough transformen_US
dc.subjectDigit segmentationen_US
dc.subjectTraffic signen_US
dc.titleDetection and classification of speed limit traffic signsen_US
dc.typeConference paperen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University

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