Open AccessA Method of License Plate Recognition Based on BP Neural Network with Median Filtering
Author(s) -
Miaomiao Li,
Miao Zhang,
Jiaji Wang,
Shengbo Wang,
Yuanhao Zhang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1229/1/012033
Subject(s) - license , artificial neural network , computer science , median filter , artificial intelligence , character (mathematics) , character recognition , noise reduction , noise (video) , pattern recognition (psychology) , data mining , speech recognition , image processing , mathematics , image (mathematics) , geometry , operating system
With the rapid increase of cars, the research of license plate recognition in intelligent traffic algorithm has attracted much attention. In this paper, pointing at the shortcomings of the existing recognition algorithm, we adopt a license plate recognition method based on BP neural network with a median filtering. The method consists of a median filtering algorithm for denoising and a BP neural network for training and testing. First the character library is processed by median filtering to remove the influence of noise. Then, utilizing the strong learning ability of BP, the character library is passed into the network for classification. Compared with the traditional algorithm, our method not only speeds up the recognition efficiency, but also obtains more robust results. Therefore, the proposed approach can provide a technical support for the practical application of license plate recognizing.