Robust multimodal biometric system based on optimal score level fusion model

作者：

Highlights：

• Multimodal biometric system based on Iris, finger vein and fingerprint.

• Performance optimization using Backtracking Search Optimization (BSA).

• Optimal score level fusion model resolves conflicts among classifier scores.

• The results exhibits low equal error rate and high accuracy.

摘要

•Multimodal biometric system based on Iris, finger vein and fingerprint.•Performance optimization using Backtracking Search Optimization (BSA).•Optimal score level fusion model resolves conflicts among classifier scores.•The results exhibits low equal error rate and high accuracy.

论文关键词：Multimodal biometric,Optimal fusion,BSA,PCR6

论文评审过程：Received 8 April 2018, Revised 20 August 2018, Accepted 22 August 2018, Available online 4 September 2018, Version of Record 23 September 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.08.036