Eyelids, Eyelashes Detection Algorithm and Hough Transform Method for Noise Removal in Iris Recognition

The biometric system is based on human's behavioral and physical characteristics. Among all of these, iris has unique structure, higher accuracy and it can remain stable over a person's life. Iris recognition is the method by which system recognize a person by their unique identical feature found in the eye. Iris recognition technology includes four subsections as, capturing of the iris image, segmentation, extraction of the needed features and matching. This paper is a detail description of eyelids, eyelashes detection technique and Hough transform method applied on iris image. Generally, eyelids and eyelashes are noise factors in the iris image. To increase the accuracy of the system we must have to remove these factors from the iris image. Eyelashes detection algorithm can be used for detecting eyelids and eyelashes. To improve the overall performance of the iris recognition system, we can use canny edge detection algorithm [12]. Then, Hough Transform can be applied on these images to identify the circles of specific radii and lines on iris image [14].