第 卷 第 期 中国图象图形学报 vol ,no 200 年 月 journal of image .doc

中图法分类号: TP391.4 文献标识码:A 文章编号: 论文引用格式： 虹膜图像质量评价综述 李星光1,2，孙哲南2，谭铁牛2 1.中国科学技术大学 自动化系 安徽合肥 230027； 2.中科院自动化研究所 模式识别国家重点实验室 智能感知与计算研究中心北京 100190 摘 要 ： 目的：虹膜图像质量评价是虹膜识别系统中重要的模块，通过评价低质量虹膜样本的综合质量来提升虹膜识别的性能。虹膜图像质量评价在图像获取、人机交互系统、识别性能预测以及自适应虹膜识别算法设计等各模块中具有重要作用。近年来，随着虹膜识别系统不断发展，虹膜图像质量评价得到了广泛研究。 方法：为了使该领域的研究人员充分了解当前虹膜图像质量评价算法，本文对已有的方法进行了综述。 结果：总结了虹膜图像质量评价算法的发展历程、技术思路和主要方法，展望了虹膜图像质量评价算法以及以质量为导向的虹膜识别技术的发展。 结论：随着大数据时代的到来，大规模人群的虹膜识别将会成为热点。虹膜图像质量评价的研究对提升虹膜识别系统的处理能力具有重要意义。 关键词 ：低图像质量虹膜识别；虹膜图像质量评价；质量测度评价；多测度融合；频谱分析 An Overview of iris image quality assessment LI Xingguang1，2，SUN Zhenan2, TAN Tieniu2 2. Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, Beijing 100190 Abstract ： Objectives: Iris image quality assessment is very important in iris recognition systems. Its motivation is to improve the perfromance of iris recognition by assessing the quality of iris samples. It is closely related to the modules of iris image acquisition, human-computer interaction, performance evaluation, adaptive iris recognition and so on. With the development of non-ideal iris recognition techniques, iris image quality assessment methods have been widely studied in recent years. Methods: In order to give the researchers a comprehensive knowledge about iris image quality assessment, state of the art methods are reviewed. Results: The trend, technical solution and At last, the potential pointers of the iris image quality assessment methods and the quality driven iris recognition techniques are discussed. Conclusions: With the advent of the era of big data, large scale iris recognition will become the hot topic. The study of iris image quality assessment is of great significance to promote the processing capacity of the iris recognition system Key words ：Iris recognition; iris image quality assessment; quality metric estimation; quality metrics fusion; spectral analysis 引言 随着信息技术的不断发展，传统的个人