International Journal of Innovative Research in                 Electrical, Electronics, Instrumentation and Control Engineering

A monthly Peer-reviewed / Refereed journal

ISSN Online 2321-2004
ISSN Print 2321-5526

Since 2013

Abstract: Traffic sign classification is one of the most important aspect to be considered in our day to day life. Traditionally, traffic signs have been categorized using standard computer vision methods, but it also takes lot of time to manually process important features of the image. To solve This problem, many people are using deep learning techniques.

In this paper we have proposed a method for Traffic sign classification.

Keywords: Advanced Driver Assistance, traffic sign classification, deep learning, convolution neural networks.

Works Cited:

Donerao Shital Suresh, Dawane Savita Ramkrushnarao " Neural Network based Traffic sign Survey ", IJIREEICE International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, vol. 11, no. 10, pp. 25-30, 2023. Crossref https://doi.org/: 10.17148/IJIREEICE.2023.111005


PDF | DOI: 10.17148/IJIREEICE.2023.111005

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