Vehicle license plate recognition based on class-specific ers and SaE-ELM
Gou, Chao; Wang, Kunfeng(王坤峰); Li, Bo; Wang, Fei-Yue
2014
Conference Name17th IEEE International Conference on Intelligent Transportation Systems
Source PublicationIEEE International Conference on Intelligent Transportation Systems (ITSC)
Volume2014
Pages2956-2961
Conference Date2014
Conference PlaceQingdao, China
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
AbstractIn this paper, an effective approach to vehicle license plate recognition based on Extremal Regions (ERs) and Self-adaptive Evolutionary Extreme Learning Machine (SaE-ELM) is proposed. In the license plate detection step, some computations including morphological operations, various filters, different contours and validations are sequentially performed to extract some image regions as candidate license plates. Then, accurate character segmentation is achieved through a proper selection of ERs. In the character recognition step, the HOG (histogram of oriented gradients) feature vector in each character region is extracted, and then the characters are recognized using an offline trained pattern classifier of SaE-ELM. Experimental results show that our approach works quite well in complex traffic environments.
Subject AreaCivil Engineering
DOI10.1109/ITSC.2014.6958164
Indexed ByEI
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Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/5101
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.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China
2.Chinese 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,Li, Bo,et al. Vehicle license plate recognition based on class-specific ers and SaE-ELM[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA,2014:2956-2961.
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