Number Plate Recognition System Based on an Improved Segmentation Method

Number Plate Recognition (NPR) is a group surveillance system that captures vehicle photos and differentiates license numbers. NPR can help in the discovery of stolen cars. On highways, NPR systems can efficiently detect stolen vehicles. This study primarily introduces a novel and active method for detecting and recognizing license number plates, as well as obtaining photos of automobiles from a reliable source. The license plate number recognition system is divided into two stages: the first is license number plate localization, which uses localization algorithms to reveal the license number from the entire image; the second is the recognition phase, which analyzes the vehicle number plate obtained and then uses the template matching style. Finally, to assess the effectiveness of the proposed technique, a set of 300 composite photos with vehicle plates from various countries are used to test localization accuracy. The localization of license plates was completed with 99.7% accuracy and a processing time of 0.21 seconds.