Fusing iris and conjunctival vasculature: Ocular biometrics in the visible spectrum

Abstract

Abstract-Ocular biometrics refers to the imaging and use of characteristic features of the eyes for personal identification. Traditionally, the iris has been viewed as a powerful ocular biometric cue. However, the iris is typically imaged in the near infrared (NIR) spectrum. RGB images of the iris, acquired in the visible spectrum, offer limited biometric information for dark-colored irides. In this work, we explore the possibility of performing ocular biometric recognition in the visible spectrum by utilizing the iris in conjunction with the vasculature observed in the white of the eye. We design a weighted fusion scheme to combine the information originating from these two modalities. Experiments on a dataset of 50 subjects indicate that such a fusion scheme improves the equal error rate by a margin of 4.5% over an iris-only approach.

Survey Paper on Sclera Segmentations Techniques

“…In [29] for image registration a local affine and a global smooth transformation was applied. A image mapping method was used in [34] to make the images invariant to rotation. In [35] and [30] sclera vain pattern enhancement by Gabor filter.…”

“…LBP (Local Binary Pattern) feature was used for sclera biometrics in [41]. A tile-based feature extraction method was used for sclera biometrics in [34].…”

Sclera Recognition - A Survey

“…In [14], [35], [37], [40] adaptive histogram equalization was applied to the green layer of the colour image in order to get enhanced sclera vain pattern. In [40] for image registration a local affine and a global smooth transformation was applied.…”

“…In [40] for image registration a local affine and a global smooth transformation was applied. A image mapping method was used in [37] to make the images invariant to rotation. In [25] and [39] sclera vain pattern enhancement by Gabor filter.…”

“…A multimodal eye recognition technique in visible spectrum was explained in [37]. A weighted fusion scheme to combine the information originating from these two modalities is highlighted here.…”