Abstract

Abstract: - Automatic number plate Recognition is an image processing with OpenCV technology .The main objective is to design an efficient automatic authorized number plate identification system. This system is implemented on the entrance for security control of the University Campus. The developed system primarily detects the moving vehicle at the entrance and then captures the vehicle number plate image. Vehicle number plate region is extracted using the image and video segmentation in an image. Optical character Recognition technique is used for the character recognition. The resulting data is then used to store on a database so as to come up with the specific information like the vehicles number plate time taken and frequency of the data. This system is implemented and simulated by using the technologies like CNN, Tensor flow, Image AI and its performance is tested on real images and videos. The vehicle information (such as passing time, date, toll amount) is also stored in the database to maintain the record. The hardware & software integrated system is implemented & a working prototype model is developed. It is observed from the experiment that the developed system successfully detects and recognizes the vehicle number plate on real images and videosKeywords: - ANPR, Character Segmentation, Convolutional Neural Networks, Edge Detection, License Plate Extraction, Morphology, OCR