Abstract
Automated face detection and recognition is one of the most attentional branches of biometrics and it is also the one of the most active and challenging tasks for computer vision and pattern recognition. This paper present a method for face recognition based on wavelet packet decomposition and SVMs. The experiments show that the method has good performanceand reduce the greatly computation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07 |
| Publisher | IEEE |
| Pages | 1437-1441 |
| Number of pages | 5 |
| Volume | 3 |
| ISBN (Electronic) | 9781424410668 |
| ISBN (Print) | 1424410665, 9781424410651 |
| DOIs | |
| Publication status | Published - 2 Nov 2007 |
| Event | 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2007 - Beijing, China Duration: 2 Nov 2007 → 4 Nov 2007 |
Publication series
| Name | Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2158-5695 |
| ISSN (Electronic) | 2158-5709 |
Conference
| Conference | 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2007 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 2/11/07 → 4/11/07 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
User-Defined Keywords
- Face recognition
- Multi-class classification
- SVMs
- Wavelet packet decomposition
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