Multimodal biometrics: Weighted score level fusion based on non-ideal iris and face images

作者：

Highlights：

• Multimodal biometric of non-ideal iris and face images dataset is used.

• An integrated multimodal framework combining iris and face recognition.

• A weighted score level fusion that utilized the scores of each biometric trait.

• The results produce higher accuracy with lower equal error rate.

摘要

•Multimodal biometric of non-ideal iris and face images dataset is used.•An integrated multimodal framework combining iris and face recognition.•A weighted score level fusion that utilized the scores of each biometric trait.•The results produce higher accuracy with lower equal error rate.

论文关键词：Iris recognition,Face recognition,Weighted score level fusion,Multimodal biometrics,Non-ideal biometrics

论文评审过程：Available online 11 March 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.02.051