Deep Learning and SVM-Based Approach for Indian Licence Plate Character Recognition

Every developing country relies on transportation, and there has been an exponential expansion in the development of various sorts vehicles with configurations, which is a major component strengthening automobile sector. India increasing road traffic, resulted challenges such as increased accidents traffic oversight issues. In lack parametric technique for accurate vehicle recognition, worry terms reliability, high density also leads to mayhem at checkpoints toll plazas. A system that combines intelligent domain approach more sustainability indices better way handle transparency The Automatic Licence Plate Recognition (ALPR) one components transportation monitoring. This study based comprehensive detailed literature evaluation field ALPR. goal this create automatic pattern recognition combinations higher accuracy order increase reliability identifying digits alphabets car plate. research founded idea image processing opens up diverse environment allied fields when employing distinct soft techniques recognition. properties characters are employed recognise Indian licence plate study. For than 200 images were analysed parameters computing applied. comparison neural networks, hybrid using Convolution Neural Network (CNN) Support Vector Machine (SVM) classifier 98.45% efficiency.