Automatic detection and recognition of traffic signs

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 perf...

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Bibliographic Details
Published in2010 IEEE Conference on Robotics, Automation and Mechatronics pp. 286 - 291
Main Authors Hossain, M. Sajjad, Hasan, M. Mahmudul, Ameer Ali, M., Kabir, Md. Humayun, Shawkat Ali, A B M
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
automation
Colored noise
Computer science
Handicapped aids
High level synthesis
hu moment
Image converters
Image segmentation
moment invariants
neural network
Neural networks
Roads
Shape
Telecommunication traffic
traffic sign
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ISBN1424465036
9781424465033
ISSN2158-2181
DOI10.1109/RAMECH.2010.5513177

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Summary: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.
ISBN:1424465036
9781424465033
ISSN:2158-2181
DOI:10.1109/RAMECH.2010.5513177