Scleral Vascular Pattern Based Human Identification

Identification of an individual in security field is one of the greatest threats for today's world. Biometric is a good key to solve such problem. Out of the different existing biometric recognition systems available - namely face, finger, and retina and so on, sclera recognition system gives out better performance. The sclera is the opaque and white outer layer of the eye. The blood vessel patterns present in the sclera region are stable over lifetime and unique person by person, thus making it appropriate for human identification. Existing iris recognition needs to be performed in the near-infrared (NIR) spectrum which requires additional near-infrared illuminators and it is intrusive in nature. In existing sclera recognition systems matching speed is slow, which could impact its application for real-time applications. To improve the matching efficiency, proposed a new Y-shape descriptor based sclera vein recognition method using a two-stage approach for registration and matching.