HUMAN IRIS SEGMENTATION FOR IRIS RECOGNITION IN UNCONSTRAINED ENVIRONMENTS USING HOUGH TRANSFORM TECHNIQUE
V.Bhuvaneshwaran · Journal of Emerging Technologies and Innovative Research · 2018
Iris recognition is an automated method of biometric identification that uses mathematical pattern recognition techniques on video images of the iris of an individual's eyes, whose complex random patterns are unique and can be seen from some distance. Not to be confused with another, less prevalent, ocular-based technology, retina scanning, and iris recognition uses camera technology with subtle infrared illumination to acquire images of the detail-rich, intricate structures of the iris. A human iris recognition system in unconstrained environments in which an effective method is proposed for localization of iris inner and outer boundaries. In this method, after pre-processing stage, circular Hough transform was utilized for localizing circular area of iris inner and outer boundaries. Also, through applying linear Hough transform, localization of boundaries between upper and lower eyelids occluding iris has been performed. In comparison with available iris segmentation methods, not only has the proposed method a relatively higher precision, but also compares with popular available methods in terms of processing time. Experimental results on images available in CASIA database show that the proposed method has an accuracy rate of 97.50%.A method of evaluating the quality of an image in the image acquisition step and excluding it from the subsequent processing if it is not appropriate. Centre of the pupil and localizing eye image. A Hough Transform Technique for detecting the iris area from an Transforming the localized iris area into a simple coordination system