Operating Center Proposal for The Center for Identification Technology Research (CITeR): An I/UCRC in Biometrics

识别技术研究中心 (CITeR) 运营中心提案：生物识别领域的 I/UCRC

• 批准号: 0128402
• 负责人: Lawrence Hornak
• 金额: --
• 依托单位: West Virginia University Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-12-15 至 2007-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0128402&HistoricalAwards=false
• 关键词: Operating; Center; Proposal; Identification; Technology

The automated interaction of computers with humans and the biosphere in which they reside represents an increasingly important attribute of computing in the information age. Identification is a critical component of this interaction whether the application be projection of human identity at a distance over the internet, criminal justice and forensics, or medical diagnostics and therapy delivery. Defined across this application spectrum, automated biometric identification systems measure a physiological, behavioral, or biological "signature" from the human body or environment, process and recognizeclassifiable signal components, and then renders an identification decision based upon the parameters of a given application. Effectively addressing the breadth of needed biometric identification system research from the life sciences to the computing sciences represents a significant challenge to industry and government. Cohesive university faculty groups are particularly well suited to address innovations at this intersection of disciplines. The Center for Identification Technology Research (CITeR) organizes the activities of faculty groups at four universities spanning the physical, health, and computer sciences andengineering, to effectively address the cross-cutting research needed to address automated advance biometric identification technology and systems. CITeR will serve an enabling role in the technical and economic development of this area through research of new enabling technologies, the integrative training of scientists and engineers across its breadth, and the facilitation of the transfer of this technology to the private and government sectors.

计算机与人类及其所在的生物圈的自动交互代表了信息时代计算的一个日益重要的属性。识别是这种互动的关键组成部分，无论应用是通过互联网远距离投射人类身份、刑事司法和法医学，还是医疗诊断和治疗提供。在这个应用范围内定义，自动生物识别系统测量来自人体或环境的生理，行为或生物“签名”，处理和可识别的信号组件，然后根据给定应用程序的参数呈现识别决策。有效地解决从生命科学到计算科学所需的生物识别系统研究的广度对工业界和政府来说是一个重大挑战。有凝聚力的大学教师团队特别适合在这一学科交叉领域进行创新。识别技术研究中心（CITeR）组织了四所大学的物理、健康、计算机科学和工程等学科的教师小组的活动，以有效地解决自动化先进生物识别技术和系统所需的交叉研究。该中心将通过研究新的促进技术、在其范围内对科学家和工程师进行综合培训以及促进将这项技术转让给私营和政府部门，在该地区的技术和经济发展方面发挥促进作用。