A new scheme of polar Fast Fourier Transform Code for iris recognition through symbolic modelling approach

作者：

Highlights：

• A new scheme of Polar Fast Fourier Transform Code for Iris Recognition through Symbolic Modelling Approach was proposed.

• A new symbolic modelling approach for iris feature representation and classification was devised and employed.

• Introduced four machine learning techniques for iris recognition techniques using Polar FFT features.

• The time complexity analysis of symbolic approach, k-NN, SVM and PNN was proposed on publicly available iris datasets.

摘要

•A new scheme of Polar Fast Fourier Transform Code for Iris Recognition through Symbolic Modelling Approach was proposed.•A new symbolic modelling approach for iris feature representation and classification was devised and employed.•Introduced four machine learning techniques for iris recognition techniques using Polar FFT features.•The time complexity analysis of symbolic approach, k-NN, SVM and PNN was proposed on publicly available iris datasets.

论文关键词：PFFT,Iris recognition,Similarity analysis,Symbolic modelling,SVM,PNN

论文评审过程：Received 13 August 2020, Revised 3 December 2021, Accepted 22 February 2022, Available online 4 March 2022, Version of Record 11 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116745