使用位平面和标准偏差提取虹膜图案

Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. Pub Date : 2004-11-07 DOI:10.1109/ACSSC.2004.1399200

B. Bonney, R. Ives, D. Etter, Yingzi Du

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引用次数: 55

摘要

虹膜识别已被证明是非常准确的人类身份识别。在本文中，我们开发了一种利用最低有效位平面的虹膜模式提取技术:图像中每个像素的最低有效位。通过将二值形态学应用于位平面，确定虹膜瞳孔边界。边缘边界是通过评估沿垂直和水平轴的图像强度的标准偏差来确定的。由于我们的提取方法限制了定位技术仅评估位平面和标准偏差，虹膜图案提取不依赖于圆形边缘检测。这允许虹膜识别技术的扩展功能，不再需要正面视图，这导致潜在的非角度虹膜识别技术。初步结果表明，仅使用位平面和标准偏差进行虹膜定位，就可以拟合虹膜模式的近椭圆近似。

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Iris pattern extraction using bit planes and standard deviations

Iris recognition has been shown to be very accurate for human identification. In this paper, we develop a technique for iris pattern extraction utilizing the least significant bit-plane: the least significant bit of every pixel in the image. Through binary morphology applied to the bit-plane, the pupillary boundary of the iris is determined. The limbic boundary is identified by evaluating the standard deviation of the image intensity along the vertical and horizontal axes. Because our extraction approach restricts localization techniques to evaluating only bit-planes and standard deviations, iris pattern extraction is not dependent on circular edge detection. This allows for an expanded functionality of iris identification technology by no longer requiring a frontal view, which leads to the potential for off-angle iris recognition technology. Initial results show that it is possible to fit a close elliptical approximation to an iris pattern by using only bit-planes and standard deviations for iris localization.

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Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004.

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