Indian Number Plate Recognition And Location Tracking System

Abstract

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Number plate detection plays a crucial role in various applications such as traffic monitoring, vehicle identification, and law enforcement.In recent years, advancements in computer vision and Machine Learning Techniques have revolutionized Number plate recognition systems.This paper proposes a location-based Number plate detection method that combines K-Nearest Neighbors Algorithm(KNN) and Optical Character Recognition (OCR) to accurately detect and recognize Number plates in real-time.The proposed system consists main stages: Number plate localization and Number plate recognition.In the first stage, a KNN-based approach is utilized to detect the presence and location of Number plates within an input image.The KNN model is trained using a large dataset of annotated images, enabling it to learn the distinctive features and patterns associated with Number plates.This stage aims to accurately identify the regions of interest containing Number plates, even in challenging scenarios such as varying lighting conditions, occlusions, and complex backgrounds.