📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 12, DECEMBER 2021

SURVEY ON TRAFFIC SIGN RECOGNITION, CNN AND SVM

Sneha George, Ayana Sudhan, Jeleetta Shajan, Sreelakshmy A R, Jerit Richa Joy

DOI: 10.17148/IJARCCE.2021.101247

Abstract: Nowadays there is a huge increase in the number of road accident. Using this to will help pedestrians, drivers, occupants the traffic sign recognition play an important role. Traffic sign recognition reduce the risk of drivers and it is also benefits for the both drivers and pedestrians. So by adding more feature we can implement more accurate autonomous traffic sign recognition system.

Keywords: Traffic sign Recognition, Convolutional Neural Networks (CNN), Support Vector Machine (SVM)

How to Cite:

[1] Sneha George, Ayana Sudhan, Jeleetta Shajan, Sreelakshmy A R, Jerit Richa Joy, “SURVEY ON TRAFFIC SIGN RECOGNITION, CNN AND SVM,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.101247