Human Identification by Segmentation and Enhancement of Sclera using Matlab

Biometrics is mainly used in security systems and can reduce or eliminate the need to retain a key or to eliminate a password and can speed up user throughput being less intrusive. First, it detects the person‟s original identity with certainty while still honoring their civil and personal rights. Sclera recognition has many advantages compare to other methods. Face recognition is the natural way to identify a person, but human faces can change over time and age which can affect recognition accuracy. Moreover, in some cultures acquiring facial images can make some users uncomfortable. Though fingerprint recognition is very stable and high accuracy, it cannot be used for identification at a distance and may cause some hygienic issues since it is a contact based biometric. Iris recognition needs to be performed in the near-infrared (NIR) spectrum and requires extra NIR illuminators. Overall, no biometric can be perfect or applied universally. Sclera recognition can be used for identification capability in a distance and scalability to a large population. The blood vessels structure is visible and stable over time and can be obtained non-intrusively via visible wavelength illumination. Abstract Sclera is the white and opaque covering of the eye. The vein structure in sclera is unique and distinct to each person. This paper proposes a recognition method for human identification (ID) using sclera as a biometric. The challenge faced is that the vein structure moves with the movement of the eye and vessel structures are often defocused and or saturated. The sclera has been consider multilayered pattern. The contributions of the paper are: