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Automatic detection and recognition of traffic signs

conference contribution
posted on 2017-12-06, 00:00 authored by M Hossain, M Hasan, H Kabir, A B M Shawkat Ali
Automatic detection of road sign is a challenging but demanding job. A new approach namely automatic detection and recognition of traffic signs (ADRTS) considering color segmentation, moment invariants, and neural networks has been proposed in this paper. Experimental result proves the superior performance in the detection and recognition of road signs. Computational time complexity is also quite low that makes it applicable for the real time system.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

286

End Page

291

Number of Pages

6

Start Date

2010-06-28

Finish Date

2010-06-30

ISBN-10

1424465036

ISBN-13

9781424465033

Location

Singapore

Publisher

IEEE

Place of Publication

Piscataway

Publisher DOI

Full Text URL

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Dept. of Computer Science and Engineering; Dept. of Computer Science and Engineering; Faculty of Arts, Business, Informatics and Education; Institute for Resource Industries and Sustainability (IRIS);

Era Eligible

  • Yes

Name of Conference

IEEE Conference on Robotics, Automation and Mechatronics.

Parent Title

Robotics, Automation, and Mechatronics (RAM), 2010 IEEE Conference

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    Keywords

    AutomationHu momentMoment invariantsNeural networkTraffic signNetworking and CommunicationsComputer Communications Networks

    Licence

    CQUniversity General 1.0

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