Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC |
| Pages | 4034-4039 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 7th International Conference on Machine Learning and Cybernetics, ICMLC - Kunming, China Duration: 12 Jul 2008 → 15 Jul 2008 |
Publication series
| Name | Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC |
|---|---|
| Volume | 7 |
Conference
| Conference | 7th International Conference on Machine Learning and Cybernetics, ICMLC |
|---|---|
| Country/Territory | China |
| City | Kunming |
| Period | 12/07/08 → 15/07/08 |
Keywords
- Auto-correlation
- Candidate verification
- Image binarization
- License plate extraction
- Projection
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Tan, H. C., & Chen, H. (2008). A novel car plate verification with adaptive binarization method. In Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC (pp. 4034-4039). Article 4621108 (Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC; Vol. 7). https://doi.org/10.1109/ICMLC.2008.4621108