【作者】 谷建清； 郭永彩； 高潮； 徐梅宣；

【Author】 Gu Jianqing~2 Guo Yongcai~1 Gao Chao~2 Xu Meixuan~2 ~1(Key Lab for Opto-electronic Technology and System of MOE, Chongqing University, Chongqing 400044, China) ~2(Institute of Opto-electronic Engineering, Chongqing University, Chongqing 400044, China)

【机构】 重庆大学光电工程学院； 重庆大学教育部光电技术及系统重点实验室；

【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。更多还原

【Abstract】 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.更多还原