一种新颖的虹膜图像预处理方法

苑玮琦; 白晓光; 冯琪

光电工程, 2009, 36 (4): 133, 网络出版: 2009-10-09

一种新颖的虹膜图像预处理方法

New Iris Image Pre-processing Method

论文大纲

苑玮琦 ^*白晓光冯琪

作者单位

沈阳工业大学视觉检测技术研究所，沈阳 110178

图像预处理虹膜定位真实内边界去除噪声归一化 image pre-processing iris location real inner edge de-noising normalization

摘要

本文提出了一种新颖的虹膜图像预处理方法，该方法打破了传统的定位思想，并且将噪声检测的过程由空间域转到频域来完成。首先，在原始图像上填充瞳孔内的光斑；其次，将人眼图像展开成矩形，在矩形图像上以点线检测代替传统的圆检测确定虹膜的内外边界，并进行归一化；最后在归一化后的虹膜图像上利用2D-Gabor滤波器的方向选择性检测眼毛和眼睑，标记干扰区域。实验证明，该方法可以解决内边界不是理想圆造成的瞳孔遗留或纹理损失问题，而且显著降低了虹膜定位时间，提高了虹膜识别的准确性。

Abstract

A new iris pre-processing method was proposed, which breaks the traditional localizing principle. The process of noise detection was achieved by converting the spatial domain into the frequency domain. The detailed steps were as follows: Firstly, the light spot within the pupil was filled in the original image. And then the image was unfolded into a rectangle, the circle detection was substituted by the point and line detection in the rectangle image to find the inner and outer edge, and the normalization was also performed. Finally, eyelash and eyelid were detected and disturbed region was marked as well by taking advantage of the direction selectivity of 2D-Gabor filter in the normalized iris image. The results prove that this method not only solves the problem of pupil carry-over or the texture loss caused by the inner edge which is not an ideal circle, but also sharply reduces the location time and enhances the accuracy of iris recognition.

参考文献

[1] Daugman J G. High confidence visual recognition of persons by a test of statistical independence [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828)，1993，15(1)：1148-1161.

[2] Daugman J G. The importance of being random: statistical principles of iris recognition [J]. Pattern Recognition(S0031-3203)，2003，36(2)：279-291.

[3] Daugman J G. Demodulation by complex-valued wavelets for stochastic pattern recognition [J]. International Journal of Wavelets Multiresolution and Information Processing(S0219-6913)，2003，1(1)：1-17.

[4] Wildes R. Iris recognition: An emerging biometric technology [J]. Proceedings of IEEE(S0018-9219)，1997，85(9)：1348-1363.

[5] 王蕴红，朱勇，谭铁牛. 基于虹膜识别的身份鉴别[J]. 自动化学报，2002，29(1)：1-10.

WANG Yun-hong，ZHU Yong，TAN Tie-niu. Biometrics personal identification based on iris pattern [J]. Acta Automatica Sinica，2002，29(1)：1-10.

[6] 吴建华，邹德旋，李静辉. 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.

WU Jian-hua，ZOU De-xuan，LI Jing-hui. Fast and accurate iris location algorithm [J]. Chinese Journal of Scientific Instrument，2007，28(8)：1469-1473.

[7] 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 Wei-qi，XU Lu，LIN Zhong-hua. Iris Localization Algorithm Based on Gray Distribution Features of Eye Images [J]. Journal of Optoelectronics · Laser，2006，17(2)：226-230.

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

[9] 岳学东，刘洋. 虹膜纹理的空间频率特性[J]. 光电工程，2008，35(5)：140-144.

YUE Xue-dong，LIU Yang. Spatial Frequency Characteristics of Iris Texture [J]. Opto-Electronic Engineering，2008，35(5)：140-144.

[10] 邬向前，张大鹏，王宽全. 掌纹识别技术[M]. 北京：科学出版社，2006：94-103.

WU Xiang-qian，ZHANG Da-peng，WANG Kuang-quan. Palmprint Recognition [M]. Beijing：Science Press，2006：94-103.

[11] WU Xiang-qian，WANG Kuan-quan，ZHANG David. Wavelet Energy Feature Extraction and Matching for Palmprint Recognition [J]. Journal of Computer Science and Technology(S1000-9000)，2005，20(3)：411-418.

[12] 黄欢，才德，严瑛白. 基于光学体全息和小波包分解的虹膜识别实现[J]. 光电工程，2007，34(5)：97-102.

HUANG Huan，CAI De，YAN Yin-bai. Implementation of iris recognition based on volume holographic correlation and wavelet packet decomposition [J]. Opto-Electronic Engineering，2007，34(5)：97-10

苑玮琦, 白晓光, 冯琪. 一种新颖的虹膜图像预处理方法[J]. 光电工程, 2009, 36(4): 133. YUAN Wei-qi, BAI Xiao-guang, FENG Qi. New Iris Image Pre-processing Method[J]. Opto-Electronic Engineering, 2009, 36(4): 133.

一种新颖的虹膜图像预处理方法

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