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An Improved Biometric Authentication with Scleral Patterns

T. Priyadharshini

Abstract


Biometrics is the science of recognizing people based on their physical or behavioral traits such as face, fingerprints, iris, and voice. Iris is unique part of the eye that is varied from person to person. Iris is white part of the eye and it covering the sclera. The accuracy of the iris recognition system depends on the image quality of the iris images and also iris recognition requires frontal gaze images of the eye. Single biometric system shows certain disadvantages, non-universality, spoof attacks etc. The sclera is the white section of the eye, is the opaque, rubbery, defensive, external layer of the eye containing collagen and elastic fiber images of sclera vessel patterns are often defocused and saturated and most significantly, the vessel structure in the sclera is multilayered and has complex nonlinear transformations, sclera recognition system is not given sufficient accuracy. This article investigates the use of scleral texture in the sclera as a potential biometric. Iris patterns are better discerned in the near-infrared spectrum (NIR) while vascular patterns are better discerned in the visible spectrum (RGB). Most of the results proved that Intelligent Recognition System using Iris and Sclera Features developed is more accurate and efficient as compared to other single biometric systems.

Cite this Article
T. Priyadharshini. An Improved Biometric Authentication with Scleral Patterns. Journal of Advances in Shell Programming. 2016; 3(1): 28–35p.


Keywords


Biometrics, sclera, iris recognition, pattern recognition, conjunctival vasculature

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References


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