Chinese character recognition for LPR application

被引：11

作者：

Chen, Huoliang ^{[1
]}

Hu, Bo ^{[2
]}

Yang, Xing ^{[3
]}

Yu, Min ^{[1
,4
]}

Chen, Jie ^{[5
]}

机构：

[1] Fourth Mil Med Univ, Sch Mil Prevent Med, Dept Hlth Serv, Xian 710032, Peoples R China

[2] Nanjing Artillery Acad, Nanjing 211132, Jiangsu, Peoples R China

[3] Key Lab Infrared & Low Temp Plasma Anhui Prov, State Key Lab Pulsed Power Laser Technol, Hefei 230037, Peoples R China

[4] Acad Mil Med Sci, Inst Hlth Serv & Intelligence, Beijing 100850, Peoples R China

[5] Anhui Jianzhu Univ, Dept Elect & Informat Engn, Hefei 230601, Peoples R China

来源：

OPTIK | 2014年 / 125卷 / 18期

关键词：

Chinese character recognition; SIFT feature; LPR;

D O I：

10.1016/j.ijleo.2014.05.042

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Letter and number recognition in license plates is widely considered a solved problem in many practical license plate recognition (LPR) systems. However, Chinese character recognition for LPR application still faces many challenges, such as more complex structure, defective character, partial occlusion, and sensitiveness to affine distortion, noise, scaling, illumination variation, contamination, blurring, and so no. In this paper, a novel method of Chinese character recognition is proposed, based on SIFT feature points clustering and matching in which a center matching strategy is designed to improve recognition efficiency. Promising experimental results demonstrate that the proposed is robust to the previous adverse factors in natural scenes and acquires higher efficiency that may meet requirements in practical application. (c) 2014 Elsevier GmbH. All rights reserved.

引用

页码：5295 / 5302

页数：8

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