【摘要】 在对虹膜识别技术的研究现状、识别框架、系统构成等进行全面分析的基础上,介绍了虹膜图像获取、图像预处理、特征提取、特征匹配及性能评价指标等主要内容。剖析了该技术面临着高质量图像采集困难,稳定性、可行性有待验证等主要问题,提出了该技术的研究发展方向及应用前景,包括虹膜特征信息与其他生物特征信息及非生物特征信息相融合;建立虹膜特征识别的网络身份认证系统;高效快速的识别算法及通用性和兼容性强的虹膜识别芯片。更多还原

【Abstract】 Iris identification technology is a biological characteristic identification technology with the lowest error reception rate and the lowest error refusal rate. It differentiates accuracy from error of identification by collecting iris image, abstracting features and matching features. Because of its commonness, uniqueness, reliability and also anti-interference, this technology has high academic value and very wide future applications. Through the complete analysis of current research situation, identification frame-work, and system component, acquisition and pretreatment of iris image, extraction of features, matching of features and evaluation of performance are discussed, and the problems of this technology, such as the difficulty of acquiring high quality images, and stability and feasibility to be testified are reviewed as well. The direction of further research and development and future application of this technology cover the fusion of iris identification information with other biology identification information and non-biology identification information; set-up of iris identification network system; highly efficient identification calculation and identification chip with commonness and strong compatibility.更多还原