Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines

doi:10.1109/TITS.2015.2496545

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines
	Gou, Chao1,2 ; Wang, Kunfeng1 ; Yao, Yanjie1,3 ; Li, Zhengxi 4; Wang, Kunfeng(王坤峰)
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
	2016-04-01
卷号	17 期号:4 页码:1096-1107
文章类型	Article
摘要	This paper presents a vehicle license plate recognition method based on character-specific extremal regions (ERs) and hybrid discriminative restricted Boltzmann machines (HDRBMs). First, coarse license plate detection (LPD) is performed by top-hat transformation, vertical edge detection, morphological operations, and various validations. Then, character-specific ERs are extracted as character regions in license plate candidates. Followed by suitable selection of ERs, the segmentation of characters and coarseto- fine LPD are achieved simultaneously. Finally, an offline trained pattern classifier of HDRBM is applied to recognize the characters. The proposed method is robust to illumination changes and weather conditions during 24 h or one day. Experimental results on thorough data sets are reported to demonstrate the effectiveness of the proposed approach in complex traffic environments.
关键词	License Plate Detection License Plate Recognition Hybrid Discriminative Restricted Boltzmann Machines Extremal Regions
WOS标题词	Science & Technology ; Technology
学科领域	Civil Engineering
DOI	10.1109/TITS.2015.2496545
URL	查看原文
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61304200) ; MIIT Project of Internet of Things Development Fund(1F15E02)
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:000373133600019
引用统计	被引频次：128[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/10861
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Wang, Kunfeng(王坤峰)
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China 3.Natl Univ Def Technol, Res Ctr Computat Expt & Parallel Syst, Changsha 410073, Hunan, Peoples R China 4.North China Univ Technol, Beijing 100041, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Gou, Chao,Wang, Kunfeng,Yao, Yanjie,et al. Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2016,17(4):1096-1107.
APA	Gou, Chao,Wang, Kunfeng,Yao, Yanjie,Li, Zhengxi,&Wang, Kunfeng.(2016).Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,17(4),1096-1107.
MLA	Gou, Chao,et al."Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 17.4(2016):1096-1107.

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