International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




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Survey Paper | Automobiles | Singapore | Volume 5 Issue 5, May 2016


Study of Traffic Sign Detection and Recognition Algorithms

Arasanipalai Mohan Aditya [2] | Sagar Moharir


Abstract: In todays era of autonomous vehicles and connected cars, traffic sign detection and recognition is an important feature of autonomous vehicles and advanced driver assistance systems. There has been extensive research in this field and it has been a consistent application domain in the automotive sector. Recent times have seen the emergence of a large number of public datasets corresponding to different countries, over which traffic sign detection and recognition techniques are being employed. We present a survey paper which involves a comprehensive study of existing techniques being used, along with a performance analysis over different datasets. We also discuss the trade-off of the different options in terms of accuracy and recognition time.


Keywords: traffic sign recognition, classification, recognition, road sign


Edition: Volume 5 Issue 5, May 2016,


Pages: 2118 - 2121


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How to Cite this Article?

Arasanipalai Mohan Aditya, Sagar Moharir, "Study of Traffic Sign Detection and Recognition Algorithms", International Journal of Science and Research (IJSR), Volume 5 Issue 5, May 2016, pp. 2118-2121, https://www.ijsr.net/get_abstract.php?paper_id=NOV163967



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