3rd International Engineering Conference on Developments in Civil & Computer Engineering (IEC2017)
Title: Human Iris Eye Segmentation by Extended and Regional Transform
Authors: Ziad M. Abood, Ghdad S. Karam
DOI: 10.23918/iec2017.03
Abstract: Iris recognition is regarded as the most reliable and accurate biometric identification system available is a form of biometric technology that authenticates individuals by using the unique iris patterns between the pupil and the sclera. Iris recognition systems capture an image of an individual’s eye; the iris in the image is then segmented for feature extraction process. The performance of iris recognition systems highly depends on segmentation. In this paper, Extended and Regional (min/ max) Transform applied to Human eye’s iris segmentation with four group of eye’s iris (Stream, flower Jewel, Shaker iris structure), and evaluation the accuracy of results. Experimental results showed that the described extended technique was better than that when using regional technique depending on misclassification rate (MCR) measurement.
Keywords: Extended and Regional (min/ max) Transform, Iris of eye, Digital Image Processing, segmentation, Biometrics, Image Quality, Matlab, MCR.
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