Genetic algorithm based local and global spectral features extraction for ear recognition

作者：

Highlights：

• This paper proposes a new system for ear biometric identification.

• It selects the best combination of local and global spectral features using GA.

• The global features are extracted by applying the Gabor-Zernike operator.

• The local phase quantization operator is used for extracting local features.

摘要

•This paper proposes a new system for ear biometric identification.•It selects the best combination of local and global spectral features using GA.•The global features are extracted by applying the Gabor-Zernike operator.•The local phase quantization operator is used for extracting local features.

论文关键词：Biometric,Ear recognition,Feature selection,Genetic algorithm,Local and global spectral features extraction

论文评审过程：Received 25 August 2019, Revised 27 November 2019, Accepted 4 June 2020, Available online 9 June 2020, Version of Record 26 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113639