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  Published Paper Details:

  Paper Title

TRAFFIC SIGN BOARD RECOGNITION USING FEATURE MATCHING

  Authors

  Bianca Biddappa,  Gautham K,  Epsheka Shree N S,  Sushma Rajgopal Bhat,  Rajesh N

  Keywords

Feature, road sign, traffic sign, feature matching

  Abstract


Traffic safety is a complicated problem which requires careful designing and planning to develop an ideal solution. Traffic rules are implemented by the government to safeguard the public for a harmonious society and these rules are implemented using traffic signs. The general public is expected to identify, interpret and follow the traffic rules and signs. Failing to understand these signs would result in undesired consequences. An autonomous system in a car which performs detection, recognition, interpretation and gives warning to the motorist would help in reducing the number of accidents. In the proposed system, we use MATLAB to implement the recognition of traffic signs using the images captured and this forms a part of Driver Assistance system. Our system works in real time environment with high detection accuracy of more than 90% in different lighting conditions in the day and on partial damaged sign boards.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2102142

  Paper ID - 203109

  Page Number(s) - 1109-1116

  Pubished in - Volume 9 | Issue 2 | February 2021

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.25744

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Bianca Biddappa,  Gautham K,  Epsheka Shree N S,  Sushma Rajgopal Bhat,  Rajesh N,   "TRAFFIC SIGN BOARD RECOGNITION USING FEATURE MATCHING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 2, pp.1109-1116, February 2021, Available at :http://www.ijcrt.org/papers/IJCRT2102142.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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