4 May 2009 A new approach for non-cooperative iris recognition
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Traditional iris recognition algorithms can work well for the frontal iris images. However, when the gaze of an eye changes with respect to the camera lens, many times the size, shape, and detail of iris patterns will change as well and cannot be matched to enrolled images using traditional methods. Additionally, the transformation of off-angle eyes to polar coordinates becomes much more challenging and noncooperative iris algorithms will require a different approach. In this paper, we propose a new approach for iris recognition. This new method does not require polar transformation, affine transformation or highly accurate segmentation to perform iris recognition. Our research results using the remote non-cooperative iris Image database show that the proposed method works well on frontal look images and off-angle images as well.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Craig Belcher, Yingzi Du, "A new approach for non-cooperative iris recognition", Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 73510A (4 May 2009); doi: 10.1117/12.818886; https://doi.org/10.1117/12.818886

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