Artificial Intelligent Systems and Machine Learning

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Traffic Sign Recognition System


Affiliations
1 Department of IT, Marathwada Mitra Mandal's College of Engineering, Pune, Maharashtra, India
     

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Sign recognition in the automotive context is a crucial task for Intelligent Transportation Systems. Its objective is to supply the driver with important information found on traffic signs. This information could be speed limits, traffic orders (Stop, for example) or texts that describe the nature of the road ahead. The proposed system is a novel application for the automatic detection and recognition of traffic signs. A video will be given to the system in form of input. The video will be analyzed by the system and the result of detected sign boards will be displayed in text format. The detected text will also be conveyed to the user through verbal message. Thus the output of the proposed system will be in text and audio format.

Keywords

SURF, Haar, Descriptor, TSR, Histogram, Octave, Scale.
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Abstract Views: 248

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  • Traffic Sign Recognition System

Abstract Views: 248  |  PDF Views: 4

Authors

Surabhi Rajeshirke
Department of IT, Marathwada Mitra Mandal's College of Engineering, Pune, Maharashtra, India
Payal Patil
Department of IT, Marathwada Mitra Mandal's College of Engineering, Pune, Maharashtra, India
Sunny Giri
Department of IT, Marathwada Mitra Mandal's College of Engineering, Pune, Maharashtra, India
Gaurav Dhande
Department of IT, Marathwada Mitra Mandal's College of Engineering, Pune, Maharashtra, India
Pranjali Kuche
Department of IT, Marathwada Mitra Mandal's College of Engineering, Pune, Maharashtra, India

Abstract


Sign recognition in the automotive context is a crucial task for Intelligent Transportation Systems. Its objective is to supply the driver with important information found on traffic signs. This information could be speed limits, traffic orders (Stop, for example) or texts that describe the nature of the road ahead. The proposed system is a novel application for the automatic detection and recognition of traffic signs. A video will be given to the system in form of input. The video will be analyzed by the system and the result of detected sign boards will be displayed in text format. The detected text will also be conveyed to the user through verbal message. Thus the output of the proposed system will be in text and audio format.

Keywords


SURF, Haar, Descriptor, TSR, Histogram, Octave, Scale.