Prediction for Indian Road Network Images Dataset Using Feature Extraction Method

Indian roads have various distress issues, enormous stress, and immense need of rejuvenation to handle the augmented need of the Indian economy, vast traffic, and heavy vehicle speed. To overcome the problem of road network, we developed a method to track roadworthiness. Identification of severity level and accuracy is achieved using MATLAB. This paper presents SVM evaluation on real road network images. Using GLCM feature extraction and support vector machine classifier, we achieved 81.3% accuracy results.

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