基于Gabor滤波的虹膜识别系统设计

The design of iris recognition system based on Gabor filtering

摘要:

随着科学技术的发展，信息安全在各个领域显得越来越重要，生物识别技术由于其特有的性质，在传统的识别领域中脱颖而出。其中，虹膜识别以高可靠性和差异性，成为目前安全性最高，最理想的生物识别技术。提出一种改进虹膜定位算法，二值化分割出瞳孔区域时，修正瞳孔边界，提高虹膜定位精度，有效提高识别速度。虹膜识别算法是整个系统的核心，要使虹膜识别具有良好的效果，需要对虹膜图像进行一系列的处理。分析Gabor滤波器的原理及实现方法，研究Daugman虹膜识别算法，设计并完成了虹膜图像预处理，特征提取，二维Gabor滤波器的构建及参数选取等，经仿真实验，能够很好的完成虹膜识别，计算速度较快，效果较好。

Abstract:

With the development of science and technology, information security is becoming more and more important in all fields. Because of its unique nature, biometric identification technology stands out in the traditional recognition field. Among them, iris recognition is the most secure and ideal biometrics technology with high reliability and diversity. An improved iris localization algorithm is proposed. The pupil boundary is corrected when the pupil area is divided into two values, the iris location accuracy is improved, and the recognition speed is effectively improved. Iris recognition algorithm is the core of the whole system. In order to make iris recognition have good effect, iris image processing is needed. This paper analyzes the principle and realization method of Gabor filter, studies the iris recognition algorithm of Daugman, designs and completes the iris image preprocessing, feature extraction, the construction of two-dimensional Gabor filter and parameters selection. Through simulation experiments, the iris recognition can be completed well, the speed of the iris recognition is very fast and the effect is better.