提出一种结合傅里叶描绘子和最小二乘法的虹膜定位算法.在虹膜内圆定位时,先用改进的轮廓跟踪算法检测二值化瞳孔边缘的点序列,再用傅里叶描绘子提取该点序列的整体轮廓,最后用最小二乘法拟合内圆.在虹膜外圆定位时,先利用虹膜左、右部分的灰度梯度信息,提取外边缘点序列,再用最小二乘法拟合外圆.实验结果表明,该算法提高了虹膜定位的速度和精度,有效克服了睫毛、眼睑的遮挡,能满足实时虹膜识别系统的需求.%The authors proposed a combination of Fourier descriptors with the least square method for iris localization. On locating the inner boundary of iris, an improved tracking algorithm was introduced to obtain point-sequences by tracking the edge of the binarization pupil. After Fourier descriptors transforming, the least square method was finally used to fit the inner circle. On locating the outer boundary, the gray gradient information on the left and right parts of the iris was appropriately used. Based on this information, the outer boundary point-sequences were extracted. Similarly, the outer circle can be fitted by the least square method at last. Experimental results show that the method can overcome the eyelashes and eyelid occlusion, and also improve the localization speed and accuracy. The results can meet the requirements of real-time iris recognition system.
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