[1]吕颢[],刘峰[],干宗良[],等. 基于字典学习的模糊车牌中文字符识别[J].计算机技术与发展,2017,27(11):75-78.
　LYU Hao[],LIU Feng[],GAN Zong-liang[],et al. Chinese Character Recognition in Fuzzy Vehicle Plate Based on Dictionary Learning[J].,2017,27(11):75-78.
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 基于字典学习的模糊车牌中文字符识别()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年11期
页码:
75-78
栏目:
智能、算法、系统工程
出版日期:
2017-11-10

文章信息/Info

Title:
 Chinese Character Recognition in Fuzzy Vehicle Plate Based on Dictionary Learning
文章编号:
1673-629X（2017)11-0075-04
作者:
 吕颢[1]; 刘峰[1]; 干宗良[1]; 麦媛玲[2]
 1.南京邮电大学 图像处理与图像通信江苏省重点实验室；2.视频图像智能分析与应用公安部重点实验室
Author(s):
 LYU Hao[1]; LIU Feng[1]; GAN Zong-liang[1]; MAI Yuan-ling[2]
关键词:
 ; 中文字符识别; 字典学习; 主成分分析; Softmax回归
Keywords:
 ; Chinese character recognition; dictionary learning; principal component analysis; Softmax regression
分类号:
TP301
文献标志码:
A
摘要:
 车牌识别技术已经是一项非常成熟的技术.而车牌当中的中文字符由于笔画比较复杂且位置较偏导致拍摄条件受限,得到的车牌中文字符图像质量不佳,往往较难辨认,从而给车牌识别工作尤其是车牌中文字符识别带来了极大困难.文中采用基于费希尔判别准则的字典学习方法来提取中文字符的特征,为了从不同的角度对中文字符提取特征,用不同的训练样本训练三个字典学习模型,将车牌中文字符样本分别通过训练好的三个字典学习模型,从而形成三种残差信息,用Softmax对三种残差信息进行整合,最终得到识别结果.通过实际测试表明,由于文中采用了更加具有区分能力的基于费希尔判别准则的字典模型,且采用三种不同的字典学习模型同时对同一个中文字符进行特征提取,与传统的中文识别方法相比,该方法对模糊车牌中文字符具有较好的识别效果.
Abstract:
 Vehicle license plate recognition has already been a mature technology. However,due to the complicated strokes in Chinese character and bad shoot environment by the remote location,the image quality of Chinese character is too bad to recognize,which is diffi-cult for the vehicle license plate recognition,especially for Chinese character recognition. The dictionary learning method based on Fisher discriminative criterion is proposed to extract the Chinese character features. In order to extracting features of Chinese character from dif-ferent aspects,three dictionary learning models are trained by different training samples and through them,three different residual informa-tion are obtained which are integrated by Softmax for final recognition results. The practical tests show that compared with the traditional Chinese recognition methods,it can own better recognition effect in Chinese character of fuzzy vehicle plate since the use of dictionary model based on Fisher discriminative criterion with more strong distinguishing and adopting three dictionary learning models to extract features for same Chinese character at the same time.

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更新日期/Last Update: 2017-12-26