License plate Chinese character recognition method

Abstract

The invention relates to a license plate Chinese character recognition method. The license plate Chinese character recognition method includes steps of manually constructing a standard training sample gray image; preprocessing the training sample gray image to generate a preprocessed gray image; performing band-pass filtering for the preprocessed gray image by the aid of P Gaussian band-pass filters with interconnected pass bands to obtain P filtered gray images; performing dimensionality reduction for the P filtered gray images by a linear or nonlinear process to form images with M-dimensional training sample characteristic vectors; and performing license plate Chinese character recognition for the images with the M-dimensional training sample characteristic vectors by the aid of an RBF (radial basis function) neural network after the images are subjected to dimensionality reduction, and outputting Chinese characters of license plates. The method has the advantages that the RBF neural network is adopted, network parameters are solved by an unsupervised clustering and least square process for solving linear equations, repeated iteration is avoided in a solving procedure, the time efficiency is high, algorithm convergence is good, and the method is high in generalization ability.

Description

technical field [0001] The invention relates to a license plate recognition technology in the field of intelligent transportation, in particular to a license plate Chinese character recognition method. Background technique [0002] Intelligent Transportation System (Intelligent Transportation System, ITS) started from the computerization of traffic management in the 1960s and 1970s. , Comprehensive transportation management system that plays a role in all directions. [0003] License Plate Recognition (LPR) is an important part of the intelligent transportation system, and it is a specific application of pattern recognition technology in the field of transportation. Its task is to analyze and process car images and automatically recognize car license plates. The LPR system can be widely used in important occasions that require license plate authentication, such as electronic toll collection, access control, highway flow monitoring, stolen vehicle inquiry, and parking lot v...

AI Technical Summary

Problems solved by technology

The advantage of this method is that the calculation speed is fast, and it has better learning ability for training samples. The disadvantage is that the network structure is directly related to the generalization performance of the test samples, and the training algorithm is not easy to converge.

[0009] At present, there is no report on the Chinese character recognition method of the license plate that can meet the requirements of small amount of calculation, high efficiency, good algorithm convergence and good generalization ability at the same time.

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