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Traffic Symbol Recognition System using Image Binarization and Correlation Techniques

Author(s):

Pooja Awhale , JSPMS's BSIOTR,Wagholi Pune; Shreya Kukdeja, JSPMS's BSIOTR,Wagholi Pune; Shweta Vyas, JSPMS's BSIOTR,Wagholi Pune; Prashant Jawalkar, JSPMS's BSIOTR,Wagholi Pune

Keywords:

Traffic Sign Detection, Traffic Sign Recognition, Block Correlation, Fuzzy Logic

Abstract

in recent years there has been a steep increase in the number of accidents which affected human lives. Recognizing those traffic signs is very pinpointing task because most of the accidents are happening through the non-observation of traffic symbols by driver’s negligence. A novel approach of an automated system is required to identify the traffic symbols through video surveillance and rise a valid alert to driver. The distinct methodologies available are ROI extraction. Most of these techniques are not having clear consensus and many performance issues related to traffic sign symbol detection and recognition. This paper gains attention for proposing modern idea to detect and recognize traffic symbols using multi-block correlation technique which is powered with fuzzy logic and catalyzed by Pearson correlation technique in color images.

Other Details

Paper ID: IJSRDV5I20773
Published in: Volume : 5, Issue : 2
Publication Date: 01/05/2017
Page(s): 1268-1272

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