License Plate Recognition Based on Transform Coding and Neural Network

被引：0
|
作者：
李小平
胡海生
宋瀚涛
朱建学
丁俨
机构：
[1] Beijing Institute of Technology
[2] Beijing100081
[3] China
[4] Department of Computer Science and Engineering
[5] School of Information Science and Technology
来源：
Journal of Beijing Institute of Technology(English Edition) | 2003年 / 01期
关键词：
K-L transform; BP network; pattern recognition;
D O I：
10.15918/j.jbit1004-0579.2003.01.010
中图分类号：
TP391.4 [模式识别与装置];
学科分类号：
0811 ; 081101 ; 081104 ; 1405 ;
摘要：
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.
引用
收藏
页码：42 / 45
页数：4
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