Among ocular biometrics sclera biometrics have gain its popularity since last few years. The major reason for the popularity of this
biometrics is because it can increase the biometric applicability of iris biometrics in off-angle or off-axis eye biometrics.
In order to established this concept it is first necessary to access the biometric applicability of sclera and also its combination with iris.
So, various research works are proposed in the literature. Although to date, sclera biometric has not been extensively studied and so the literature related to
sclera biometric is still in its infancy. One major challenges that are face in the sclera biometrics are the accurate segmentation of the sclera portion from the eye
image. Otherwise, an incorrect segmentation can not only reduce the pattern available, but also it can
introduce other patterns such as eyelashes and eyelids which can bias the calibration of the biometric applicability of the trait.
Various algorithms have been proposed for sclera segmentation in subsequent works of this biometrics, but still it is a challenge and an open research area.
Moreover benchmarking the proposed sclera segmentation with a common dataset is also important with multi-angle (off-angle) eye image.
In order to establish this bench mark the propose competition is hosted. The competition also aims to gain more popularity of researchers for this biometric trait.