Optimization of face recognition algorithm based on deep learning multi feature fusion driven by big data

作者：

Highlights：

• This paper aims to optimize the existing face recognition algorithm.

• This paper uses the LBP algorithm to extract the texture features of the face.

• This method fuse local & global features of human face in big data background.

• The accuracy of face recognition reaches more than 90%.

摘要

•This paper aims to optimize the existing face recognition algorithm.•This paper uses the LBP algorithm to extract the texture features of the face.•This method fuse local & global features of human face in big data background.•The accuracy of face recognition reaches more than 90%.

论文关键词：Big data,Face recognition,Deep learning,Multi-feature fusion

论文评审过程：Received 26 June 2020, Revised 29 August 2020, Accepted 14 September 2020, Available online 18 September 2020, Version of Record 2 October 2020.

论文官网地址：https://doi.org/10.1016/j.imavis.2020.104023