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% gethammingdistance - returns the Hamming Distance between two iris templates
% incorporates noise masks, so noise bits are not used for
% calculating the HD
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RELIABLE automatic recognition of persons has long been
an attractive goal. As in all pattern recognition problems,
the key issue is the relation between inter-class and intra-class
variability:
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IRIS CODE MATCHING FOR IRIS RECOGNITION
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matching process require method like gethamming distance to compare and match acquisition iris
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nonmaxsup——非最大值抑制
hysthresh——设定阈值区间,返回一个二值化图像
canny——边缘探测,图像边缘增强
adjgamma——调整图像的伽马值
findline——利用线性Hough变换和Canny边缘探测得到的线上各点的坐标
circlecoords——返回由圆的半径和圆心坐标决定的圆上各点像素的坐标
houghcircle——取一幅经过canny变换的图像,利用hough变换找到图像中的一个圆
findcircle——计算所得线上各点
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The MATLAB code is used to match two iris templates.
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get hamming distance
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calculate hamming distance between two template
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