Abstract
This paper proposes a method for detecting license plates by local feature called SURF, and concealing the detected plates. SURF is a method for extracting rotation and scale invariant local feature, like SIFT. In the proposed method, first, SURF features are extracted from training-patterns capturing license plates. Then, each of SURF features from a testpattern is compared with features from training-patterns, and finally, the local areas with high similarity are detected as the location of a license plate. After that, the detected plate area is concealed by blurring.
| Translated title of the contribution | License plate detection using local features |
|---|---|
| Original language | Japanese |
| Pages (from-to) | 1-6 |
| Number of pages | 6 |
| Journal | IEICE technical report |
| Volume | 109 |
| Issue number | 418 |
| Publication status | Published - Feb 11 2010 |