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Admissions Open
In iris recognition systems, when capturing an iris image under unconstrained conditions, the image quality can be highly degraded by poor focus, off-angle view, motion blur, specular reflection (SR), and other artifacts. To overcome these problems, we propose a new segmentation technique to handle iris images were captured on less constrained conditions. This technique reduces the error percentage while there are types of noise, such as iris obstructions and specular reflection. The system is implemented on MATLAB R2007b and tested using a dataset of UBIRIS v1 and v2 database samples of iris data with different contrast quality. As per the results received after implementation, the proposed algorithm shows the 98.76% accuracy and at the same time the execution time of our proposed segmentation algorithm is 1.49 seconds due to the different proposed steps that applied to reduce the searching areas in circular Hough transform.