光学学报, 2009, 29 (8): 2158, 网络出版: 2009-08-17   

一种新颖的虹膜轮廓提取方法

A New Iris Edge Extraction Method
作者单位
沈阳工业大学视觉检测技术研究所, 辽宁 沈阳 110178
摘要
传统的虹膜定位方法是在人眼图像上把虹膜轮廓当作理想圆来提取。针对虹膜内边界不是理想圆, 外边界边缘模糊等问题, 提出一种新的虹膜轮廓提取方法。先利用极坐标变换将包含全部虹膜区域的某个范围展开成矩形形状, 然后在此矩形区域上根据灰度的阶跃进行虹膜真实内边界的查找, 最后在矩形区域上利用直线定位虹膜外边界代替在人眼图像上利用圆定位外边界。该方法不仅解决了内边界不是理想圆造成的瞳孔遗留或纹理损失问题, 而且以点、线检测代替圆检测显著降低了虹膜定位时间。通过对CASIA-IrisV3虹膜图像库进行定位测试结果表明, 该方法平均定位时间0.172 s, 定位准确率99.35%。
Abstract
The traditional way of iris location is to extract the iris edge considering it as an ideal circle. To solve the problem that the inner edge of iris is actually not an ideal circle and the outer edge is blurred, a new way to extract the iris edge is proposed in this paper. It firstly unfolds some certain area in iris to a rectangle shape using the pole coordinates transformation, then searches the real inner iris edge according to the steps of grayscale in this rectangular area and finally takes advantages of linear location in this rectangular area to locate the outer iris edge instead of location of that in the human eye images. This method not only solves the problem of pupil carry-over or the texture loss caused by that the inner edge is not an ideal circle but also sharply reduces the location time since it constitutes the point and line detection to the circle detection. Testing on the CASIA-IrisV3 database, the results show that the proposed method costs an average time of 0.172 s and the correct rate is 99.35%.
参考文献

[1] J. G. Daugman. Wavelet demodulation codes, statistical independence, and pattern recognition. Institute of Mathematics and its Applications[C]. Proc. 2nd IMA-IP, 2000:244~260

[2] . G. Daugman. The importance of being random: statistical principles of iris recognition[J]. Pattern Recognition, 2003, 36(2): 279-291.

[3] . G. Daugman. Demodulation by complex-valued wavelets for stochastic pattern recognition[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2003, 1(1): 1-17.

[4] R. Wildes. Iris recognition: An emerging biometric technology[C]. Proc. IEEE, 1997, 85(9):1348~1363

[5] . 基于虹膜识别的身份鉴别[J]. 自动化学报, 2002, 29(1): 1-17.

    . Biometrics personal identification based on iris pattern[J]. Acta Automatica Sinica, 2002, 29(1): 1-17.

[6] 田启川,潘泉,程咏梅. 不同光照下的虹膜边界定位研究[J]. 光电子·激光, 2006, 17(4):488~492

    Tian Qichuan, Pan Quan, Cheng Yongmei. Study on iris boundary localization under different illumination[J]. Journal of Optoelectronics · Laser, 2006, 17(4):488~492

[7] . 一种快速精确的虹膜定位方法[J]. 仪器仪表学报, 2007, 28(8): 1469-1473.

    . Fast and accurate iris location algorithm[J]. Chinese Journal of Scientific Instrument, 2007, 28(8): 1469-1473.

[8] 刘洋,李霞,王娜 等. 基于特定感兴趣区采样的虹膜定位改进算法[J]. 光子学报, 2008, 37(6):1277~1280

    Liu Yang, Li Xia, Wang Na et al.. An improved iris location algorithm based on sampling to special regions of interesting[J]. Acta Photonica Sinica, 2008, 37(6):1277~1280

[9] 苑玮琦,徐露,林忠华. 一种基于人眼图像灰度分布特征的虹膜定位算法[J].光电子·激光, 2006, 17(2):226~230

    Yuan Weiqi, Xu Lu, Lin Zhonghua. Iris localization algorithm based on gray distribution features of eye images[J]. Journal of Optoelectronics· Laser, 2006, 17(2):226~230

[10] 苑玮琦,徐露,林忠华.一种基于局部信息统计的虹膜分块编码方法[J].光学学报, 2007, 27(11):2047~2053

    Yuan Weiqi, Xu Lu, Lin Zhonghua. An iris block-encoding method based on statistic of local information[J]. Acta Optica Sinica, 2007, 27(11):2047~2053

[11] K. W. Nam, K. L. Yoon, W. S. Yang. A feature extraction method for binary iris code construction[C]. Proceedings of the 2nd International Conference on Information Technology for Application(ICITA 2004), Harbin, 2004:284~287

[12] . 基于直线检测的虹膜快速定位方法[J]. 计算机辅助设计与图形学学报, 2006, 18(8): 1155-1159.

    . A fast iris location algorithm based on line detection[J]. Journal of Computer-aided Design & Computer Graphics, 2006, 18(8): 1155-1159.

[13] Rafael C. Gonzalez. Digital Image Processing[M]. Beijing:Publishing House of Electronics Industry. 2006, 519~530

[14] . , Wang K., Zhang D.. Wavelet energy feature extraction and matching for palmprint recognition[J]. Journal of Computer Science and Technology, 2005, 20(3): 411-418.

[15] 才德,严瑛白,金国藩. 光学小波包变换及其滤波器的研究[J].光子学报, 2006, 35(7):1076~1079

    Cai De, Yan Yingbai, Jin Guofan. Research on optical wavelet packet transform and its filter for iris recognition[J]. Acta Photonica Sinica, 2006, 35(7):1076~1079

[16] 王向军,张敏,周鑫玲 等. 非接触式虹膜图像获取及特征提取方法研究[J] .光学学报, 2005, 25(3):319~323

    Wang Xiangjun, Zhang Min, Zhou Xingling et al.. Research on non-contact method of capturing iris image and extracting feature[J]. Acta Optica Sinica, 2005, 25(3):319~323

[17] 王海虹,曾妮,陆威 等. 基于小波变换和数学形态学的激光成像雷达图像边缘检测[J].中国激光,2008, 35(6):903~906

    Wang Haihong, Zeng Ni, Lu Wei et al.. Edge detection of laser imaging radar based on wavelet transform and mathematical morphology[J]. Chinese J. Lasers, 2008, 35(6):903~906

[18] 苑玮琦,白云,柯丽. 虹膜区域选取与识别率对应关系分析[J] .光学学报, 2008, 28(5):937~942

    Yuan Weiqi, Bai Yun, Ke Li. Analysis of relationship between region of iris and the accuracy rate[J]. Acta Optica Sinica, 2008, 28(5):937~942

苑玮琦, 白晓光. 一种新颖的虹膜轮廓提取方法[J]. 光学学报, 2009, 29(8): 2158. Yuan Weiqi, Bai Xiaoguang. A New Iris Edge Extraction Method[J]. Acta Optica Sinica, 2009, 29(8): 2158.

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