REAL TIME TRAFFIC SIGN RECOGNITION BASED ON SMARTPHONE PLATFORM
| Author(s) | : | Prabhavathi K, Amrutha R, Anusha H S, Ashwini M, Lavanya N |
| Institution | : | Assistant Professor Dept. of ECE BGSIT BG Nagar |
| Published In | : | Vol. 5, Issue 5 — May 2018 |
| Page No. | : | 419-422 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
As society has developed, the number of vehicles has increased and road conditions have becomecomplicated increasing the risk of crashes. Therefore, a service that provides safe vehicle control and various types ofinformation to the driver is urgently needed. In addition we designed and implemented a model to estimate congestion byanalyzing traffic information. Traffic sign recognition can help the driver to make a right decision at the right time forsafe driving. The realization traffic sign recognition system usually divided into two stages: Detection and Classification.This paper presented an algorithm for detection of traffic sign using convert region of interest (ROI) polygon to regionmask method. The algorithm detects the traffic sign from the images captured from different environment and differentposition angle. The proposed method extracted the detected sign in black and white pixels and further classified intogroups. In this paper introduces the main difficulties in road sign recognition with further discussion on the potentialtrend of road sign recognition.
Prabhavathi K, Amrutha R, Anusha H S, Ashwini M, Lavanya N, “REAL TIME TRAFFIC SIGN RECOGNITION BASED ON SMARTPHONE PLATFORM”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 5, pp. 419-422, May 2018.
