RETRACTED ARTICLE: Improved CNN license plate image recognition based on shark odor optimization algorithm

The recent development in the domestic economy has increased number of private vehicles leading to issue road congestions and traffic accidents. diversity severity problems leads requirements modern intelligent transportation systems. In case vehicle license identification, plate positioning plays a very vital role this is key factor affecting accuracy system. order alleviate pressure, solve problem congestion, paper based on Convolutional Neural Network (CNN) character identification. This article adopts identification employing CNN model uses neural network optimization principles for improved construction. By adopting principles, it improved, constructed. results show that CNN-based model, characters completed, recognition been significantly accurate rate 99%.