Periocular authentication based on FEM using Laplace–Beltrami eigenvalues
作者：
Highlights：
• We examine the shape characteristics of periocular region for authentication.
• Laplace–Beltrami operator is employed to extract periocular shape characteristics.
• The proposed algorithm is evaluated using CASIA FV1 images, Basel datasets and 3D periocular models generated using Artec Eva Lite 3D scanner.
摘要
Highlights•We examine the shape characteristics of periocular region for authentication.•Laplace–Beltrami operator is employed to extract periocular shape characteristics.•The proposed algorithm is evaluated using CASIA FV1 images, Basel datasets and 3D periocular models generated using Artec Eva Lite 3D scanner.
论文关键词：Periocular authentication,Laplace–Beltrami operator,Non-linear manifold learning,Periocular shape characteristics
论文评审过程：Received 22 December 2014, Revised 7 June 2015, Accepted 11 August 2015, Available online 21 August 2015, Version of Record 5 November 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.08.013
