Intelligent Vehicle Registration Number (IVRN) Plate Identification Framework using Machine Learning Model

Transport system with intelligence and smart vehicles are transforming and facilitating human life. The number of transports on road has increased tremendously with raise in traffic congestions. This research work proposes an exceptional approach for Vehicle Registration Plate detection using ML models. Many number of challenging problems are considered in the work such as condition of number plate, size color Font, day night conditions, environmental effects, and hardware constrains, illumination conditions, and motion blur Vehicle Number Plate Recognition (VNPR) system are extensively applied for intelligent traffic management system. This proposed method is trained for recognizing Indian number plate system. k-NN, Support Vector Machine (SVM) models ar applied to develop the system. A large care number plate with different road conditions and distance are trained and testing purposes. Performance factors like error rate accuracy, memory utilization, speed of algorithm processing are applied. The simulation outcomes show that the proposed system produces a good efficiency of $\mathbf{9 8. 5 \%}$ when compared to other classical methods.