Abstract
This paper discuses the application of wavelet analysis and invariant movements on automatic vehicle recognition. The wavelet analysis was used to get multi-scale edge images, and the invariant moments were used to anti-tilt and anti-interference, and to correct the vehicles of the images. Then we can compare similarity through the Euclidean distance between two images' normalized moment vectors. The experimental result has demonstrated good performance in recognition of various vehicle types. It can work accurately and quickly.
| Original language | English |
|---|---|
| Title of host publication | NISS2010 - 4th International Conference on New Trends in Information Science and Service Science |
| Pages | 329-332 |
| Number of pages | 4 |
| Publication status | Published - 2010 |
| Event | 4th International Conference on New Trends in Information Science and Service Science, NISS2010 - Gyeongju, Korea, Republic of Duration: 11 May 2010 → 13 May 2010 |
Publication series
| Name | NISS2010 - 4th International Conference on New Trends in Information Science and Service Science |
|---|
Conference
| Conference | 4th International Conference on New Trends in Information Science and Service Science, NISS2010 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Gyeongju |
| Period | 11/05/10 → 13/05/10 |
Keywords
- Automatic vehicle recognition
- Invariant movements
- Wavelet
Fingerprint
Dive into the research topics of 'Research on the vehicle recognition based on invariant moment'. Together they form a unique fingerprint.Cite this
Wang, S., Li, X., Lv, X., Zhang, L., Li, Y., & Dong, H. (2010). Research on the vehicle recognition based on invariant moment. In NISS2010 - 4th International Conference on New Trends in Information Science and Service Science (pp. 329-332). Article 5488597 (NISS2010 - 4th International Conference on New Trends in Information Science and Service Science).