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Scale-invariant Feature Transform (SIFT) is an algorithm to find local features in images. SIFT uses Difference-of-Gaussian (DoG) to locate candidate keypoints and performs a detailed fit to locate keypoints, then orientations are added to keypoints and keypoint descriptor is generated for each keypoint. Iris recognition is one of the most reliable biometric authentications. In this paper, we propose...
Iris recognition is of great significance in biometric technologies, due to the highest reliability and accuracy. As the first crucial step of iris recognition, iris segmentation is continuously and widely studied. A novel iris location method, based on rotation average analysis of intensity-inversed image, is presented here for iris segmentation: First, it locates the pupil by checking the consecutive...
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