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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
TRAFFIC SIGN DETECTION AND RECOGNITION USING OPEN CV
Authors
Aarushi Mittal, Prince Chugh
Keywords
OpenCV, Haar features, Cascades classification, Machine Learning, Histogram of Gradient, Cascade Training, SVM, KNN, Feature matching.
Abstract
This paper reviews the method for traffic sign detection and recognition. In the section on learning-based detection, we review the Viola Jones detector and the possibility of applying it to traffic sign detection. The recognition of the detected traffic sign is handled by the Histogram of Gradient based SVM classifier. Together this system is expected to perform much better than the other systems available. The algorithms when trained with proper set of images have been noted to perform accurately. This must hold true for the traffic signs as well under different color, lighting, atmospheric conditions.
IJCRT's Publication Details
Unique Identification Number - IJCRT2106202
Paper ID - 208472
Page Number(s) - b583-b587
Pubished in - Volume 9 | Issue 6 | June 2021
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Aarushi Mittal, Prince Chugh, "TRAFFIC SIGN DETECTION AND RECOGNITION USING OPEN CV", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.b583-b587, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106202.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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