MRI:Acquisition of Instrumentation for Biometric Authentication Research: Collaborative Research

MRI：采购用于生物识别认证研究的仪器：合作研究

• 批准号: 0521034
• 负责人: Arun Ross
• 金额: --
• 依托单位: West Virginia University Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0521034&HistoricalAwards=false
• 关键词: MRI; Acquisition; Instrumentation; Biometric; Authentication

This collaborative project with St Lawrence U (05-20990, Schuckers), supporting research in biometric authentication for identity assurance, complements ongoing work as part of an NSF-ITR grant that is cooperatively funded by the US Department of Homeland Security. The research develops new biometric authentication technologies and involves five tasks:-Improvement of facial recognition that requires a 3D digitizer,-Investigation of large-scale distributed systems that requires powerful servers and PCs;-Simulation of matching performance for system scaling that requires powerful computers;-Investigation of saccades as biometrics that requires Dual-Image eye-trackers; and-Exploration of multi-spectral iris imaging that requires a multi-spectral camera.The work, developing new techniques for distributed biometric systems as well as performing experiments with scaling up large biometric databases, aims at improving the acceptance of biometrics for trusted and ubiquitous computing. By rendering a decision about a user's identity from physiological measurements made on their "image," biometric authentication systems uniquely provide the means for binding an individual's presence with their cyber action so that intent can be firmly established. Hence, the system allows the physical association of a person to the identification data in a database to enhance security protection or abuse/misuse of personal data.Broader Impact: A strong biometric curriculum already in place will be expanded, thus preparing many in areas serviced by Homeland Security. As these trusted systems multiply, interdisciplinary education for engineers is better serviced. The work addresses increasingly important problems for homeland security.

这个与圣劳伦斯大学（05-20990，Schuckers）的合作项目，支持生物识别身份认证的身份保证研究，补充了正在进行的工作，作为由美国国土安全部合作资助的NSF-ITR赠款的一部分。该研究开发了新的生物识别认证技术，涉及五项任务：-需要3D数字化仪的面部识别的改进，-需要强大的服务器和PC的大规模分布式系统的调查;-需要强大的计算机的系统扩展的匹配性能的模拟;-需要双图像眼动仪的生物识别的扫视调查;和探索多光谱虹膜成像，需要一个多光谱相机。这项工作，开发用于分布式生物测定系统的新技术以及进行扩大大型生物测定数据库的实验，旨在提高生物测定技术在可信和无处不在的计算中的接受度。通过根据对用户的“图像”进行的生理测量来做出关于用户身份的决定，生物特征认证系统独特地提供了将个人的存在与他们的网络行为绑定的手段，从而可以牢固地建立意图。因此，该系统允许个人与数据库中的识别数据的物理关联，以加强安全保护或滥用/误用个人数据。更广泛的影响：已经到位的强大生物识别课程将被扩展，从而为国土安全部服务的许多领域做好准备。随着这些可信系统的增加，工程师的跨学科教育得到了更好的服务。这项工作解决了日益重要的国土安全问题。