This paper presents a solution for the license plate recognition problem in residential community administrations in China. License plate images are pre-processed through gradation, middle value filters and edge detection. In the license plate localization module the number of edge points, the length of license plate area and the number of each line of edge points are used for localization. In ...

Learning-based algorithms for automated license plate recognition implicitly assume that the training and test data are well aligned. However, this may not be case under extreme environmental conditions, or in forensic applications where system cannot trained a specific acquisition device. Predictions on such out-of-distribution images have an increased chance of failing. But failure is oftenti...

With the rapid development and continuous improvement of image processing technology, intelligent management traffic system for vehicles has accelerated speed road safety information, in which car license plate as identification vehicle identity, its character information is key to recognition system. In order solve problem traditional algorithm such long period, this study adopts HALCON a prog...

License plate localization is considered to be the significant process in Automatic Number Plate Recognition (ANPR) system, because the accuracy rate of license plate recognition relies on the performance of license plate localization. The majority of license plate localization papers are dedicated to daytime where many appearances can be used to locate license plate. The researches were also r...