摘要
A novel candidate verification algorithm for plate license localization is proposed in this paper. In the new method, auto-correlation curve, projection properties and character position features based on candidate binary image are combined together to verify the candidates. To improve the performance of verification, Otsu's method, Bersen method and Niblack method with post process are adaptive chosen to binarize images in different illumination. Experimental results show the efficiency of proposed method.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC |
| 页 | 4034-4039 |
| 页数 | 6 |
| DOI | |
| 出版状态 | 已出版 - 2008 |
| 活动 | 7th International Conference on Machine Learning and Cybernetics, ICMLC - Kunming, 中国 期限: 12 7月 2008 → 15 7月 2008 |
出版系列
| 姓名 | Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC |
|---|---|
| 卷 | 7 |
会议
| 会议 | 7th International Conference on Machine Learning and Cybernetics, ICMLC |
|---|---|
| 国家/地区 | 中国 |
| 市 | Kunming |
| 时期 | 12/07/08 → 15/07/08 |
指纹
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Tan, H. C., & Chen, H. (2008). A novel car plate verification with adaptive binarization method. 在 Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC (页码 4034-4039). 文章 4621108 (Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC; 卷 7). https://doi.org/10.1109/ICMLC.2008.4621108