Abstract
An improved approach based on support vector machine (SVM) called the center distance ratio method is presented for license plate character recognition. First the support vectors are pre-extracted. A minimal set called the margin vector set, which contains all support vectors, is extracted. These margin vectors compose new training data and construct the classifier by using the general SVM optimized. The experimental results show that the improved SVM method does well at correct rate and training speed.
| Original language | English |
|---|---|
| Pages (from-to) | 378-381 |
| Number of pages | 4 |
| Journal | Journal of Beijing Institute of Technology (English Edition) |
| Volume | 14 |
| Issue number | 4 |
| Publication status | Published - Dec 2005 |
Keywords
- Center distance ratio method
- Character recognition
- Margin vector
- Support vector
- Support vector machine (SVM)