Wavelet packet based feature extraction and recognition of license plate characters

被引：2
|
作者：
Wei, H [1 ]
Lu, XB [1 ]
Ling, XJ [1 ]
机构：
[1] Southeast Univ, MOE, Res Ctr Intelligent Transportat Syst, Nanjing 210096, Peoples R China
来源：
CHINESE SCIENCE BULLETIN | 2005年 / 50卷 / 02期
关键词：
license plate; characters recognition; feature extraction; wavelet packet; optimal wavelet packet basis;
D O I：
10.1360/982004-429
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
To study the characteristics of license plate characters recognition, this paper proposes a method for feature extraction of license plate characters based on two-dimensional wavelet packet. We decompose license plate character images with two dimensional-wavelet packet and search for the optimal wavelet packet basis. This paper presents a criterion of searching for the optimal wavelet packet basis, and a practical algorithm. The obtained optimal wavelet packet basis is used as the feature of license plate character, and a BP neural network is used to classify the character. The testing results show that the proposed method achieved higher recognition rate than the traditional methods.
引用
收藏
页码：97 / 100
页数：4
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