License plate recognition based on transform coding and neural network

Xiao Ping Li; Hai Sheng Hu; Han Tao Song; Jian Xue Zhu; Yan Ding

License plate recognition based on transform coding and neural network

Xiao Ping Li^*, Hai Sheng Hu, Han Tao Song, Jian Xue Zhu, Yan Ding

^*Corresponding author for this work

School of Aerospace Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

A method of vehicle license plate recognition utilizing Karhunen-Loeve (K-L) transform is provided. The transform is used to extract features from a mass of image templates, to describe high-dimensional images with low-dimensional ones, and moreover, to implement data compression and play down complexity of the neural network. With the character to reduce eigenspace dimensionality of K-L transform and the ability to map data of BP network, the method does effectively in recognizing license plates.

Original language	English
Pages (from-to)	42-45
Number of pages	4
Journal	Journal of Beijing Institute of Technology (English Edition)
Volume	12
Issue number	1
Publication status	Published - Mar 2003

Keywords

BP network
K-L transform
Pattern recognition

Cite this

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title = "License plate recognition based on transform coding and neural network",

abstract = "A method of vehicle license plate recognition utilizing Karhunen-Loeve (K-L) transform is provided. The transform is used to extract features from a mass of image templates, to describe high-dimensional images with low-dimensional ones, and moreover, to implement data compression and play down complexity of the neural network. With the character to reduce eigenspace dimensionality of K-L transform and the ability to map data of BP network, the method does effectively in recognizing license plates.",

keywords = "BP network, K-L transform, Pattern recognition",

author = "Li, {Xiao Ping} and Hu, {Hai Sheng} and Song, {Han Tao} and Zhu, {Jian Xue} and Yan Ding",

year = "2003",

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T1 - License plate recognition based on transform coding and neural network

AU - Li, Xiao Ping

AU - Hu, Hai Sheng

AU - Song, Han Tao

AU - Zhu, Jian Xue

AU - Ding, Yan

PY - 2003/3

Y1 - 2003/3

N2 - A method of vehicle license plate recognition utilizing Karhunen-Loeve (K-L) transform is provided. The transform is used to extract features from a mass of image templates, to describe high-dimensional images with low-dimensional ones, and moreover, to implement data compression and play down complexity of the neural network. With the character to reduce eigenspace dimensionality of K-L transform and the ability to map data of BP network, the method does effectively in recognizing license plates.

AB - A method of vehicle license plate recognition utilizing Karhunen-Loeve (K-L) transform is provided. The transform is used to extract features from a mass of image templates, to describe high-dimensional images with low-dimensional ones, and moreover, to implement data compression and play down complexity of the neural network. With the character to reduce eigenspace dimensionality of K-L transform and the ability to map data of BP network, the method does effectively in recognizing license plates.

KW - BP network

KW - K-L transform

KW - Pattern recognition

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M3 - Article

AN - SCOPUS:0038785626

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JO - Journal of Beijing Institute of Technology (English Edition)

JF - Journal of Beijing Institute of Technology (English Edition)

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ER -

License plate recognition based on transform coding and neural network

Abstract

Keywords

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