License Plate Recognition Using MSER and HOG Based on ELM

	License Plate Recognition Using MSER and HOG Based on ELM
	Gou C(苟超); Wang KF(王坤峰); Zhongdong Yu; Haitao Xie
	2014
会议名称	IEEE International Conference on Service Operations and Logistics, and Informatics
会议日期	2014
会议地点	Qingdao
摘要	In this paper, an effective method for automatic license plate recognition (ALPR) is proposed, on the basis of extreme learning machine (ELM). Firstly, morphological TopHat filtering operator is applied to do the image pre-processing. Then candidate character regions are extracted by means of maximally stable extremal region (MSER) detector. Thirdly, most of the noise character regions are removed according to the geometrical relationship of characters in standard license plates. Finally, the histograms of oriented gradients (HOG) features are extracted from each character of every plate detected and the characters are recognized by the classifier trained through the ELM. Experimental evaluation shows that our approach significantly performs well in the ALPR systems.
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/14756
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
推荐引用方式 GB/T 7714	Gou C,Wang KF,Zhongdong Yu,et al. License Plate Recognition Using MSER and HOG Based on ELM[C],2014.