Dependence structure of Gabor wavelets based on copula for face recognition

作者：

Highlights：

• Face recognition methods are proposed on the dependence structure of Gabor wavelets.

• We develop lightweight copula model of Gabor wavelets to extract the face features.

• PSO is use to improve the performance of lightweight copula model of Gabor wavelets.

摘要

•Face recognition methods are proposed on the dependence structure of Gabor wavelets.•We develop lightweight copula model of Gabor wavelets to extract the face features.•PSO is use to improve the performance of lightweight copula model of Gabor wavelets.

论文关键词：Face recognition,Gabor wavelets,Gaussian copula,Covariance matrix,Particle swarm optimization

论文评审过程：Received 22 July 2018, Revised 6 May 2019, Accepted 23 May 2019, Available online 30 May 2019, Version of Record 17 July 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.05.034