Litcius/Paper detail

Automatic Number Plate Recognition System for Indian Number Plates using Machine Learning Techniques

Gayatri Hajare, Utkarsh Kharche, Pritam Mahajan, Apurva Shinde

2022ITM Web of Conferences18 citationsDOIOpen Access PDF

Abstract

India being a country where the population is above 1.3 billion where each person has at least one car of his/her use. Considering this, the number of cars driven on the roads of India must be greater than the population of the people in the country. India being a diverse country, diversity is not only seen in the language of the number plates but also in size, spacing between the letters on the number plate and the font of the number plate. Diversity differs from state to state. Even though most of the people are using English Number plates, there is no certain law as to how a number plate should be, so some people tend to have number plates according to their preferences. To withstand these problems, we have created a system using You Only Look Once version 5 (YOLOv5) for number plate detection and Google Tesseract for Character Recognition.

Topics & Concepts

Diversity (politics)PopulationCharacter (mathematics)Artificial intelligenceCharacter recognitionState (computer science)MathematicsGeographyComputer scienceLawSociologyDemographyGeometryPolitical scienceAlgorithmVehicle License Plate RecognitionHandwritten Text Recognition TechniquesSmart Parking Systems Research