A New Approach for Sclera Segmentation Using Integro Differential Operator
V. Gokul Rajan, S. Vijayalakshmi · Journal of Computational and Theoretical Nanoscience · 2020
Sclera vessel patterns are one of the most reliable biometrics against performance, accessibility and availability. Sclera segmentation is the important phase of sclera recognition system as its performance depends on the segmentation accuracy. The big challenge in segmentation is nonlinearity of iris, sclera and upper and lower eyelid. This paper proposes a new approach to isolate the sclera accurately from the unconditionally acquired eye image. Hough transform and Integro differential operator (IDO) are popularly used to confine the iris and sclera boundary. Both of these two localizations are done based on the midpoint of the iris. These techniques produce better results as compared with other approaches but computation of iris center point incurs more time. To overcome this time consumption issue gabor based filter has been used. Experimental results are listed based on the UBIRIS database images. The experimental result shows that the proposed segmentation system will produce fast and accurate result.