Image Processing Approach to Identify And Recognize Traffic Symbols for color Images Using Fuzzy Integral
| Author(s) | : | Snehal P. Shinde, Sneha M. Konade, Sonali Y. Khenat, Devika D. Thakar |
| Institution | : | Department of Computer Engineering ,K.J.College of Engineering,Management And Research, Pune |
| Published In | : | Vol. 3, Issue 12 — December 2016 |
| Page No. | : | 42-44 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The number of vehicles is rapidly increasing. In parallel, the number of ways and traffic signs have increased.As a result of increased traffic signs, the drivers are expected to learn all the traffic signs and to pay attention to themwhile driving. A system that can automatically recognize the traffic signs has been need to reduce traffic accidents and todrive more freely. Traffic sign recognition system meet this need. This study includes traffic sign detection andrecognition application. In this study, some image processing techniques are used to detect traffic signs and FuzzyIntegral is used to recognize trafficsigns. Both more accuracy rate results and low computational cost are obtained interms of recognition stage by using positive aspects of algorithms taken as input parameters with Fuzzy Integral in thetraffic sign recognition system. Experimental results show that proposed method gives high accurate results in areasonable time.
Snehal P. Shinde, Sneha M. Konade, Sonali Y. Khenat, Devika D. Thakar, “Image Processing Approach to Identify And Recognize Traffic Symbols for color Images Using Fuzzy Integral”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 12, pp. 42-44, December 2016.
