• Shweta Vyas
• Pooja Awhale
• Shreya Kukdeja
• Prof. Prashant Jawalkar

Nowadays, the number of accidents is increasing rapidly which in turn resulting in huge loss of human lives. This is mainly because drivers are unaware of different road side traffic signs. In these systems reliable and robust Traffic sign detection and recognition (TSDR) technique is used which will automatically recognize the traffic signs and give an alert to the driver. Different methodologies available for TSDR like: Image sequence using color information, color based segmentation techniques. The most of the algorithms for traffic sign recognition (TSR) are suffering from performance issues like time complexity and space complexity. These papers try to analysis most of the important prior work of TSDR and Fuzzy Integral which acts as abstract classifier, attempts to find a new work which is concerned with developing an inventory system capable to accomplish a complete catalog of all traffic sign and their corresponding state information.

Traffic sign detection and recognition; Image Processing; Fuzzy Integral; Symbol Identification

"A Modern Approach to Identify Traffic Sign Symbol in Color Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 10, page no.377-379, October-2016, Available :http://www.jetir.org/papers/JETIR1610064.pdf

"A Modern Approach to Identify Traffic Sign Symbol in Color Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 10, page no. pp377-379, October-2016, Available at : http://www.jetir.org/papers/JETIR1610064.pdf