Vehicle license plate recognition based on class-specific ers and SaE-ELM

doi:10.1109/ITSC.2014.6958164

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 class-specific ers and SaE-ELM
	Gou, Chao; Wang, Kunfeng(王坤峰); Li, Bo ; Wang, Fei-Yue
	2014
会议名称	17th IEEE International Conference on Intelligent Transportation Systems
会议录名称	IEEE International Conference on Intelligent Transportation Systems (ITSC)
卷号	2014
页码	2956-2961
会议日期	2014
会议地点	Qingdao, China
出版者	IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
摘要	In 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.
学科领域	Civil Engineering
DOI	10.1109/ITSC.2014.6958164
收录类别	EI
引用统计
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/5101
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.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
推荐引用方式 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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