Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines
Gou, Chao1,2; Wang, Kunfeng1; Yao, Yanjie1,3; Li, Zhengxi4; Wang, Kunfeng(王坤峰)
Source PublicationIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
2016-04-01
Volume17Issue:4Pages:1096-1107
SubtypeArticle
AbstractThis 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.
KeywordLicense Plate Detection License Plate Recognition Hybrid Discriminative Restricted Boltzmann Machines Extremal Regions
WOS HeadingsScience & Technology ; Technology
Subject AreaCivil Engineering
DOI10.1109/TITS.2015.2496545
URL查看原文
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61304200) ; MIIT Project of Internet of Things Development Fund(1F15E02)
WOS Research AreaEngineering ; Transportation
WOS SubjectEngineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS IDWOS:000373133600019
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Cited Times:45[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10861
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorWang, Kunfeng(王坤峰)
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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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