NDLI: Comparison of quasi-spherical surfaces – application to corneal biometry

Content Provider	IET Digital Library
Author	Polette, Arnaud Mari, Jean Luc Brunette, Isabelle Meunier, Jean
Abstract	In this study, the authors present two new techniques with their own particular advantages dedicated to the authentication of a person based on the three-dimensional geometry of the cornea. A device known as corneal topographer is used for capturing the shape of each cornea. Until now only a few studies on corneal biometry have been conducted and they were limited only to the anterior surface. In this study, since the whole cornea is a tissue layered by two (anterior and posterior) surfaces, the authors propose to use both surfaces to characterise the corneal shape. The first proposed method consists of comparing coefficients from a spherical harmonics decomposition, and this allows to do a fast comparison that can be used to perform many-to-one comparisons. The second approach is based on the minimal residual volume between two corneas after a registration step, this geometry-based method is more accurate but slower, and is thus used to perform one-to-one comparisons. A cascade fusion scheme is also proposed to benefit from the advantages of both methods. The authors’ study demonstrates that corneal shape could be used for biometry. The two proposed methods have been tested and validated on a dataset of 257 corneas.
Starting Page	212
Ending Page	219
Page Count	8
ISSN	20474938
Volume Number	5
e-ISSN	20474946
Issue Number	Issue 3, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/5/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2015.0048
Journal	IET Biometrics
Publisher	The Institution of Engineering and Technology
Publisher Date	2016-09-01
Access Restriction	Open
Rights License	Creative Commons Attribution -Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/)
Subject Keyword	Anterior Surface Biomimetics Computer Vision And Image Processing Technique Corneal Biometry Corneal Topographer Data Security Eye Geometry Based Method Image Recognition Noninvasive Device Quasispherical Surface Comparison Security of Data Spherical Harmonics Decomposition Three-dimensional Geometry
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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