AUTOMATIC NUMBER PLATE TEXT DETECTION USING DEEP LEARNING AND OCR

Abstract

Automatic Number Plate Recognition (ANPR) systems have become increasingly important in various applications, including traffic management, law enforcement, and security systems. These systems rely on accurate and efficient detection and recognition of vehicle number plates. Traditional methods often struggle with challenges like varying lighting conditions, plate orientations, and complex backgrounds. A comprehensive review of recent advancements in ANPR systems that leverage deep learning and Optical Character Recognition (OCR) techniques. To discuss the key components of an ANPR system, including image preprocessing, number plate localization, character segmentation, and character recognition. We delve into the application of deep learning models, such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), for robust and accurate number plate detection and character recognition. Furthermore, we explore the integration of advanced OCR techniques to enhance the overall performance of ANPR systems.