Abstract
According to the problem that the iris image resolution difference makes iris recognition difficult, an AdaBoost is proposed to solve the problem. The AdaBoost algorithm will achieve a stronger iris classifier (named iris feature template) by lifting weaker similarity classifiers during the training stage. Simulation results show that the algorithm can improve iris classification performance and it is very easy for iris classification threshold selection in iris recognition.
| Original language | English |
|---|---|
| Pages (from-to) | 4045-4048+4053 |
| Journal | Xitong Fangzhen Xuebao / Journal of System Simulation |
| Volume | 20 |
| Issue number | 15 |
| State | Published - 5 Aug 2008 |
Keywords
- Adaptive boosting algorithm
- Feature template
- Iris classification
- Machine learning
- Pattern recognition