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An Improved Iris Recognition Method Based on Discrete Cosine Transform and Gabor Wavelet Transform Algorithm

机译:一种基于离散余弦变换和Gabor小波变换算法的改进的虹膜识别方法

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An improved Iris recognition method wasproposed by adopting the discrete cosine transform (DCT)method and Gabor wavelet transform algorithm. Thecombination of the calculus operator method, improved Houghtransform and the two-step edge detection method is adopted torealize the iris localization and extraction. The discrete cosinetransform method and the Gabor wavelet transform areutilized to form the propose improved Gabor wavelet transformfor iris localization and extraction. Finally, the nearest neighbordistance detector and Euclidean distance are used as theclassifier to realize the iris recognition. Simulation experimentsare carried out to prove the effectiveness of the proposedstrategy.
机译:通过采用离散余弦变换(DCT)方法和Gabor小波变换算法,改进的虹膜识别方法。采用虹膜定位和提取采用微积分操作方法,改进的HOUGHTRANSFORM和两步边缘检测方法。离散的烯烃晶体方法和Gabor小波变换的旨在形成提出的改进的Gabor小波变换,从而为虹膜定位和提取。最后,最接近的接近探测器和欧几里德距离用作用于实现虹膜识别的粘性距离。仿真实验表明,证明了拟议矩的有效性。

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