基于混合神经网络的车牌字符识别技术

doi:10.16180/j.cnki.issn1007-7820.2019.09.011

Abstract

Abstract:

License plate recognition was an important part of the intelligent transportation system, and the key was the license plate character recognition technology. A single neural network was difficult to identify fuzzy license plate characters, and a hybrid neural network was proposed to realize license plate character recognition technology. The hybrid neural network combined associative memory with BP neural network to discriminate the input characters twice. After training and feature extraction, the detection results were obtained. Experiments with different noises and different angles showed that the hybrid neural network had higher recognition accuracy.

Key words: BP neural network, associative memory network, character recognition, hybrid neural network

CLC Number:

TP391

ZHANG Changqing,YANG Nan. License Plate Character Recognition Technology Based on Hybrid Neural Network[J].Electronic Science and Technology, 2019, 32(9): 51-54.

Figures/Tables 6

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References 16

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License Plate Character Recognition Technology Based on Hybrid Neural Network

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