License Plate Recognition Using MSER and HOG Based on ELM
文献类型：会议论文
| 作者 | Gou C(苟超) ; Wang KF(王坤峰); Zhongdong Yu; Haitao Xie
|
| 出版日期 | 2014 |
| 会议日期 | 2014 |
| 会议地点 | Qingdao |
| 英文摘要 | 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14756]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 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]. 见:. Qingdao. 2014. |
入库方式： OAI收割
来源：自动化研究所
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