Incremental granular relevance vector machine: A case study in multimodal biometrics

作者：

Highlights：

• The proposed iGRVM incorporates incremental and granular learning in RVM.

• Experiments are performed on NIST BSSR1, CASIA-Iris-Distance V4, and Biosecure DS2 databases.

• Results illustrate that iGRVM can be a good alternative for biometric score classification.

摘要

Highlights•The proposed iGRVM incorporates incremental and granular learning in RVM.•Experiments are performed on NIST BSSR1, CASIA-Iris-Distance V4, and Biosecure DS2 databases.•Results illustrate that iGRVM can be a good alternative for biometric score classification.

论文关键词：Incremental learning,Granular computing,Relevance vector machine,Biometrics

论文评审过程：Received 24 September 2013, Revised 3 September 2015, Accepted 15 November 2015, Available online 15 December 2015, Version of Record 12 April 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.11.013