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二维Gabor小波在虹膜识别中的应用 被引量:6

Application of 2-D Gabor Wavelet in Iris Recognition
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摘要 二维连续小波变换具有尺度伸缩、平面位移和旋转能力,被广泛应用于检测图像的局部特性,二维Gabor小波变换属于二维连续小波变换,它非常适合于提取图像细节纹理的特征。针对虹膜纹理的局部特性,将二维Gabor小波应用于虹膜识别中。实验结果表明,二维Gabor小波能有效地提取虹膜纹理特征,从而达到虹膜识别的目的。 Due to scale extension.shift and rotation capabilities of continuous wavelet transform,it is applied to extract characteristic of image.2-D Gabor transform is fit for extracting features of image texture.The texture information of iris image with the characteristics of amplitude and phase is extracted by 2-D Gabor wavelet,which can extract the orientation and phase information of image by the greatest extent.The experimental results demonstrate that 2-D Gabor wavelet can extract effectively the characteristics of iris texture for iris recognition.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2005年第z2期395-396,403,共3页 Chinese Journal of Scientific Instrument
关键词 虹膜图像 二维Gabor小波 虹膜识别 Iris image 2-D Gabor wavelet Iris recognition
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参考文献4

  • 1[1]Daugman J G. High confidence visual recognition of persons by a test of statistical independence [J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1993,15(11): 1148~1161.
  • 2[2]Daugman J. G. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression [J]. IEEE Transactions on Acoustics,Speech,and Signal Processing, 1988,36(7): 1169~1179.
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  • 4王蕴红,朱勇,谭铁牛.基于虹膜识别的身份鉴别[J].自动化学报,2002,28(1):1-10. 被引量:259

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