Abstract
AbstractLicense plate character recognition is the core of license plate recognition system. The accuracy and efficiency of the character recognition are two important indicator. The license plate characters are divided into Chinese characters, English letters and Arabic numerals. In this paper, we propose a license plate character recognition algorithm based on Perceptron and Deep neural network (DNN). First, the superposition operation based on Perceptron is used to design license plate character template, and then the similarity operation based on perceptron and difference operation based on DNN are used to realize the license plate character recognition. The simulation results show that the proposed method has good recognition accuracy and efficiency for license plate character images with different definition and tilt.KeywordsLicense plate character templatePerceptronDNNSuperposition operationSimilarity operationDifference operation
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
