Multimodal Biometric Fusion Approach Based on Iris and Face
Xianghua Yao · Xi'an Jiaotong Daxue xuebao · 2008
The recognition performance of the single biometric system is easily affected by the surrounding environment.In order to improve the recognition reliability,a multimodal biometric fusion approach based on iris and face was proposed.In the proposed approach,the iris is processed using the phase information algorithm based on Log-Gabor filtering and the face is processed using Laplacianfaces algorithm.The two matching scores obtained from iris and face are fused using the minimax probability machine fusion strategy,and the fused matching score is used to make the final decision.The performance of the proposed approach is obviously improved.The experimental results in a multimodal database,which consists of UBIRIS iris database and ORL face database,show that the equal error rate of the proposed approach is 0.28%,which decreases 0.69% and 1.62%,respectively compared with both the single biometric approaches and decreases over 0.2% compared to the tradition fusion strategies.