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Abstract

It is a challenging task of variability of sign approaches for classification and detection in current environment. Traffic sign recognition system includes steps of detection, recognition. They plays important role as they provide information about guidelines, warnings for their safe journey. They are mainly used for comfort and safety.

References

1. http://en.wikipedia.org/wiki/Traffic_sign_recognition

2. Auranuch Lorsakul1 and JackritSuthakorn, “traffic Sign Recognition for Intelligent DAS, URAI 2007.

3. Monica Singh, DevDuttYadav, Avinash N., Ho Gi Jung, 2009

4. M. A. Garc´ıa-Garrido, M. Ocana, ˜ D. F. Llorca, M. A. Sotelo, E. Arroyo and A. Llamazares, IEEE, 2011

5. Zsolt T. Kardkovacs, Zsombor Par ´ oczi, EndreVarga, Ad´ am Siegler, P ´ eterLucz, 2011.

6. Karla Brkic, “An overview of traffic sign detection methods”, 2011

7. JackGreenhalgh and MajidMirmehdiSenior Member, IEEE, 2012

8. Dr. Dipti M. Shah, Paru D. Sindha, Phd Scholar, Changa, “TSR using Translation of Images”, IJARCSSE 2014

9. Dilip Singh Solanki, Dr. Gireesh Dixit, “TSR using Feature based method”, IJARCSSE, 2015

Keywords

Traffic Sign Recognition, Neural Network Algorithm, Hough Transformation Algorithm, SVM Classifiers, Translation of Images, Features Based Method