Automatic Recognition of Licence Plates

Systems for automatic recognition of licence plate (ARLP) are now appropriate for a number of uses, such as toll collecting, law enforcement, and traffic monitoring. The research on automatic recognition of licence plate systems, which employ machine learning algorithms and sophisticated imaging technology to attain accuracy in license plate validation and verification, is finished in this paper. Image acquisition, preprocessing, location plate, character segmentation, and optical character recognition (OCR) are some of the methods used in the preparation process. The system performs better in various situations because it using deep learning models for both extraction and classification. According to experimental results, the suggested ARLP's recognition accuracy surpasses 95%, revealing its potential for the actual world uses. The issues with ARLP implementation are also covered in this work, including modifications to plate design, lighting, and shading.