Decision pyramid classifier for face recognition under complex variations using single sample per person

作者：

Highlights：

• This paper proposes a decision pyramid classifier (DPC) for single sample face recognition.

• DPC is a multilayer structure and a non-parametric method.

• Experimental results show that DPC has good performance on face recognition.

摘要

•This paper proposes a decision pyramid classifier (DPC) for single sample face recognition.•DPC is a multilayer structure and a non-parametric method.•Experimental results show that DPC has good performance on face recognition.

论文关键词：Single sample per person,Face recognition,Decision pyramid classifier,Image partitioning,Feature extraction

论文评审过程：Received 13 June 2016, Revised 18 October 2016, Accepted 17 November 2016, Available online 21 November 2016, Version of Record 2 December 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.11.016