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Ocular biometrics refers to the use of features of the eye for person recognition. For instance, the unique and stable texture of the iris has been recognised as a powerful ocular biometric characteristic. In this study, the authors propose to improve biometric authentication with a multimodal ocular biometric system based on the iris pattern and the three-dimensional shape of the cornea. They show...
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...
Abstract: Corneal topography is a non-invasive medical imaging techniqueto assess the shape of the cornea in ophthalmology. In this paper we demonstrate that in addition to its health care use, corneal topography could provide valuable biometric measurements for person authentication. To extract a feature vector from these images (topographies), we propose to fit the geometry of the corneal surface...
The purpose of this study is to authenticate a surface from a set of surfaces based on 3D acquisitions in the context of corneal biometric application. The key idea is to quantify the difference between surfaces, and to define a threshold to determine if compared surfaces belong to the same person. This threshold depends on the normal variation between acquisitions of a same subject, and on the measurement...
In this study we present a method to build 3D corneal atlases of different populations using a registration step based on inter-surface volume minimization. First the construction method is presented. It is based on a global factor computation in order to minimize the volume between several surfaces. Then the significance of the choice of the matching step is shown with the comparison of two atlases...
In this study, we present an algorithm to build a mean surface, applied to the human cornea, for the study of variability within a population. Due to the smoothness of the corneal surface, there is no anatomical anchor. The main challenge is to match several surfaces from different subjects to build the mean cornea. The key idea is to use a registration step based on a global factor: the volume minimization...
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