Abstract
There are many algorithms for human face recognition proposed in recent years. Here, we will study how to combine these algorithms to perform better. A fusion framework combining the existing recognition algorithms based on Support Vector Machine is developed. The experimental results demonstrate its effectiveness.
| Original language | English |
|---|---|
| Pages (from-to) | 497-500 |
| Number of pages | 4 |
| Journal | Proceedings - International Conference on Pattern Recognition |
| Volume | 16 |
| Issue number | 3 |
| Publication status | Published - 1 Dec 2002 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition