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An Implementation-Oriented Iris Recognition Algorithm Using Phase-Based Image Matching

机译:基于相位的图像匹配的面向实现的虹膜识别算法

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This paper presents a phase-based iris recognition algorithm which is specially designed for system implementation. In order to reduce the size of registration iris data and to prevent the visibility of iris images, we introduce the idea of 2D Fourier phase code (2D FPC) for representing iris information. 2D FPC corresponds to the quantized version of phase-spectrum of an iris image, which is essential for phase-based iris recognition. By the use of 2D FPC, while keeping a sufficient level of performance, the size of iris data can be reduced to below one-quarter compared to using iris image directly as the registration data. 2D FPC is particularly useful for implementing compact iris recognition devices using state-of-the-art DSP (digital signal processing) technology
机译:本文介绍了一种基于相位的IRIS识别算法,专门用于系统实现。为了减少登记虹膜数据的大小并防止虹膜图像的可见性,我们介绍了代表虹膜信息的2D傅里叶阶段代码(2D FPC)的想法。 2D FPC对应于虹膜图像的频谱的量化版本,这对于基于相位的虹膜识别至关重要。通过使用2D FPC,同时保持足够的性能水平,与使用IRIS图像直接作为注册数据相比,虹膜数据的尺寸可以减少到低于单季度。 2D FPC对于使用最先进的DSP(数字信号处理)技术实现紧凑型虹膜识别装置特别有用

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