Periocular authentication based on FEM using Laplace-Beltrami eigenvalues

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Periocular authentication based on FEM using Laplace-Beltrami eigenvalues

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作者：D.R. Ambika^a ; ^{amusatish@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; K.R. Radhika^bAuthor Vitae ; D. Seshachalam^aAuthor Vitae
关键词：Periocular authentication ; Laplace&ndash ; Beltrami operator ; Non-linear manifold learning ; Periocular shape characteristics
刊名：Pattern Recognition
出版年：2016
出版时间：February 2016
年：2016
卷：50
期：Complete
页码：178-194
全文大小：11968 K

文摘

•: 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.

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