光学 精密工程, 2012, 20 (11): 2516, 网络出版: 2012-11-28   

应用统计距离实现虹膜定位

Iris location algorithm by counting distances
作者单位
江苏师范大学 电气工程及自动化学院,江苏 徐州 221116
摘要
提出了一种统计距离法(MCD)来提高虹膜识别效率。用MCD对虹膜边缘图像去噪,并建立了有效的虹膜内外圆定位方法。首先,用灰度求和找到瞳孔内一点,同时,使用Canny算子获得虹膜边缘图像,并根据所确定的瞳孔内的点来寻找虹膜内边缘上的3个边缘点。将这3个边缘点代入圆的方程即可找到虹膜内边缘。然后,根据虹膜内定位数据来消除虹膜外边缘图像中的噪声,再在去噪后的边缘图像中排除20%个与虹膜内圆圆心距离最远的边缘点。最后,使用一种改进的Hough变换来获得虹膜外边缘数据。实验结果表明:MCD的内定位时间和外定位时间分别是0.122 2 s和0.242 4 s,均比快速精确虹膜定位法(FAILA)低,且成功率为96.67%,高于FAILA。因此,MCD具有较高的精度和较快的速度,可提高虹膜识别的效率。
Abstract
A Method of Counting Distances (MCD) was proposed to improve the efficiency of iris recognition in this paper. The MCD was used in a denoising for iris edge image, and efficient location methods for both inner and outer circles of the iris were established. First, a method of grey level summation was utilized to find a pixel in the pupil, meanwhile, the iris edge image could be obtained by using the Canny operator, and three edge points of iris inner edge could be found according to the pixel in the pupil. Then, three edge points were derived to the equation of a circle to find the iris inner edge by substituting. Furthermore, the noises in iris outer edge image were eliminated in terms of the inner location data, and 20 percent of the edge points far from the center of inner circle of the iris were excluded from the denoised edge image. Finally, an improved Hough transformation was used to obtain the data of iris outer edge. Experimental results show that both inner and outer location time obtained using MCD is lower than those obtained by the Fast and Accurate Iris Location Algorithm (FAILA), and the success rate of MCD is 96.67%, which is higher than that of FAILA. Thus, the MCD has high precision and fast speed, and can lay the foundation for improving the efficiency of iris recognition.

陈传虎, 邹德旋, 刘海宽. 应用统计距离实现虹膜定位[J]. 光学 精密工程, 2012, 20(11): 2516. CHEN Chuan-hu, ZOU De-xuan, LIU Hai-kuan. Iris location algorithm by counting distances[J]. Optics and Precision Engineering, 2012, 20(11): 2516.

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