Iris-Segmentation Detection Using Canny Edge Detection Method in Python

YEAR : 2019


Iris recognition is the most reliable and accurate biometric identification system. Iris recognition system captures an image of an individual’s eye, the iris in the image is segmented and normalized for extracting its feature. Segmentation is the most important part in iris recognition process because areas that are wrongly segmented out as iris regions will corrupt biometric templates resulting in very poor recognition. Daugman’s method is used to find out the pupil and the iris boundaries. Here Iris images are taken from the CASIA Database, then the iris and pupil boundary are detected.


System Requirements

Operating System : Windows 7,8,10 (64 bit)
Software : Python
Tools : Anaconda (Jupyter notebook IDE)


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