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哈尔滨工业大学, 自动化检测与控制系,黑龙江 哈尔滨,150001
收稿日期:2003-11-14,
修回日期:2004-02-05,
网络出版日期:2004-06-15,
纸质出版日期:2004-06-15
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浦昭邦, 杨帆, 陈炳义, 陈世哲. 虹膜识别技术的发展与应用[J]. 光学精密工程, 2004,(3): 316-322
PU Zhao-bang, YANG Fan, CHEN Bing-yi, CHEN Shi-zhe. Development and application of Iris recognition technology[J]. Editorial Office of Optics and Precision Engineering, 2004,(3): 316-322
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.
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.
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