ISSN 2394-5125
 

Research Article 


INDIAN TRAFFIC ROAD SIGN RECOGNITION FOR INTELLIGENCE DRIVER ASSISTANCE SYSTEM USING SVM

Dr.R.Sathya, Dr. M.P.Thiruvenkatasuresh, Dr. R.Madonna Arieth, Dr.G.Revathy, Mr.D.Vijay Babu.

Abstract
This research work proposes a vision based approach for autonomous vehicle drivers through safety warning messages during critical situation. The proposed system indicates four main phases: background subtraction, sign extraction, feature extraction and recognition. First, it detects the traffic sign, if it has sufficient contrast from the background then it use HSV color detection and morphological erosion and dilation operation. Second, extract the detected traffic sign from the background using ROI. A novel and efficient method for organizing Sign Block Intensity Vector (SBIV) is proposed. Third, to extract the features form extracted sign using SBIV. Finally, recognition are performed through Support Vector Machine (SVM). The performance of traffic sign recognition is estimated for Traffic Sign board image and the system achieves a recognition rate of 93.5% using SBIV features and SVM. System is employed in real time environment and tested on national highway and intend to help autonomous vehicle driver to have safer and pleasant driving thereby focusing on his valid workload.


 
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How to Cite this Article
Pubmed Style

Dr.R.Sathya, Dr. M.P.Thiruvenkatasuresh, Dr. R.Madonna Arieth, Dr.G.Revathy, Mr.D.Vijay Babu. INDIAN TRAFFIC ROAD SIGN RECOGNITION FOR INTELLIGENCE DRIVER ASSISTANCE SYSTEM USING SVM. JCR. 2020; 7(9): 3177-3185. doi: 10.31838/jcr.07.09.484


Web Style

Dr.R.Sathya, Dr. M.P.Thiruvenkatasuresh, Dr. R.Madonna Arieth, Dr.G.Revathy, Mr.D.Vijay Babu. INDIAN TRAFFIC ROAD SIGN RECOGNITION FOR INTELLIGENCE DRIVER ASSISTANCE SYSTEM USING SVM. http://www.jcreview.com/?mno=24826 [Access: April 17, 2021]. doi: 10.31838/jcr.07.09.484


AMA (American Medical Association) Style

Dr.R.Sathya, Dr. M.P.Thiruvenkatasuresh, Dr. R.Madonna Arieth, Dr.G.Revathy, Mr.D.Vijay Babu. INDIAN TRAFFIC ROAD SIGN RECOGNITION FOR INTELLIGENCE DRIVER ASSISTANCE SYSTEM USING SVM. JCR. 2020; 7(9): 3177-3185. doi: 10.31838/jcr.07.09.484



Vancouver/ICMJE Style

Dr.R.Sathya, Dr. M.P.Thiruvenkatasuresh, Dr. R.Madonna Arieth, Dr.G.Revathy, Mr.D.Vijay Babu. INDIAN TRAFFIC ROAD SIGN RECOGNITION FOR INTELLIGENCE DRIVER ASSISTANCE SYSTEM USING SVM. JCR. (2020), [cited April 17, 2021]; 7(9): 3177-3185. doi: 10.31838/jcr.07.09.484



Harvard Style

Dr.R.Sathya, Dr. M.P.Thiruvenkatasuresh, Dr. R.Madonna Arieth, Dr.G.Revathy, Mr.D.Vijay Babu (2020) INDIAN TRAFFIC ROAD SIGN RECOGNITION FOR INTELLIGENCE DRIVER ASSISTANCE SYSTEM USING SVM. JCR, 7 (9), 3177-3185. doi: 10.31838/jcr.07.09.484



Turabian Style

Dr.R.Sathya, Dr. M.P.Thiruvenkatasuresh, Dr. R.Madonna Arieth, Dr.G.Revathy, Mr.D.Vijay Babu. 2020. INDIAN TRAFFIC ROAD SIGN RECOGNITION FOR INTELLIGENCE DRIVER ASSISTANCE SYSTEM USING SVM. Journal of Critical Reviews, 7 (9), 3177-3185. doi: 10.31838/jcr.07.09.484



Chicago Style

Dr.R.Sathya, Dr. M.P.Thiruvenkatasuresh, Dr. R.Madonna Arieth, Dr.G.Revathy, Mr.D.Vijay Babu. "INDIAN TRAFFIC ROAD SIGN RECOGNITION FOR INTELLIGENCE DRIVER ASSISTANCE SYSTEM USING SVM." Journal of Critical Reviews 7 (2020), 3177-3185. doi: 10.31838/jcr.07.09.484



MLA (The Modern Language Association) Style

Dr.R.Sathya, Dr. M.P.Thiruvenkatasuresh, Dr. R.Madonna Arieth, Dr.G.Revathy, Mr.D.Vijay Babu. "INDIAN TRAFFIC ROAD SIGN RECOGNITION FOR INTELLIGENCE DRIVER ASSISTANCE SYSTEM USING SVM." Journal of Critical Reviews 7.9 (2020), 3177-3185. Print. doi: 10.31838/jcr.07.09.484



APA (American Psychological Association) Style

Dr.R.Sathya, Dr. M.P.Thiruvenkatasuresh, Dr. R.Madonna Arieth, Dr.G.Revathy, Mr.D.Vijay Babu (2020) INDIAN TRAFFIC ROAD SIGN RECOGNITION FOR INTELLIGENCE DRIVER ASSISTANCE SYSTEM USING SVM. Journal of Critical Reviews, 7 (9), 3177-3185. doi: 10.31838/jcr.07.09.484