Effect of template ageing and sensor technologies in fingerprint recognition

模板老化和传感器技术对指纹识别的影响

• 批准号: 428240-2011
• 负责人: Adler, Andy
• 金额: $ 3.79万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=498610
• 关键词: Effect; template; ageing; sensor; technologies

BACKGROUND: Fingerprint recognition has become accepted as a valid personal identification method and for routine use in forensics since the early twentieth century. The technology allows identification and authentication of individuals based on the characteristics of their fingerprints. This has led many governments to choose fingerprint as a supplement to existing identification schemes, namely ID cards and passports. Since fingerprint identification systems and sensors vary, a fingerprint acquired through each one of the systems has different characteristics, and may not be compatible with each other. Fingerprints compatibility in different systems is a tough problem for government and criminal fingerprint database. As fingerprints become more prevalent, the question of their permanence arises. RESEARCH FOCUS: One common issue is that no large-scale, longitudinal studies exist to test if fingerprints are constant over aging, growth spurts and in old age. This is a major concern as fingerprint permanence has been taken as a given without any research to substantiate the claims. No studies have been conducted to see if a fingerprint image enrolled at early age is still comparable at the later age without template updating during the use hiatus. If permanence is not found, this research will help develop new re-enrollment policies, as to not sacrifice the performance and throughput of the system, by giving timelines for which given ages should reenroll. GOAL: The study will conduct systematic testing of the permanence of fingerprint biometric features as a function of age, time difference between acquisitions, and fingerprint capture and match technology. We will leverage data from large-scale studies as a baseline and then collect recurring data from this group yearly over the course of 3 years. This will allow for a broad spectrum of ages to be compared, giving more definitive results on the impact of aging. This will also allow the analysis of aging at the individual level for the target populations. This knowledge will be transferred to the Canadian industry, which will then benefit the biometric market of Canada.

背景技术背景：自世纪初以来，指纹识别已被接受为有效的个人识别方法，并在法医学中被常规使用。该技术允许基于个人指纹的特征来识别和认证个人。这导致许多政府选择指纹作为现有身份识别计划（即身份证和护照）的补充。由于指纹识别系统和传感器不同，通过每个系统获取的指纹具有不同的特性，并且可能彼此不兼容。指纹在不同系统中的兼容性一直是困扰政府和罪犯指纹库的坚韧。随着指纹变得越来越普遍，他们的永久性问题出现了。研究重点：一个常见的问题是，没有大规模的纵向研究来测试指纹是否在衰老、生长突增和老年时保持不变。这是一个主要的问题，因为指纹持久性一直被认为是一个给定的，没有任何研究来证实索赔。尚未进行研究，以确定在使用中断期间未更新模板的情况下，早期入组的指纹图像在后期是否仍然具有可比性。如果没有找到永久性，这项研究将有助于制定新的重新注册政策，以不牺牲系统的性能和吞吐量，通过给定的年龄应该重新注册的时间表。目标：这项研究将对指纹生物特征的持久性进行系统测试，这些特征是年龄、采集时间差以及指纹采集和匹配技术的函数。我们将利用来自大规模研究的数据作为基线，然后在3年的时间里每年收集该组的重复数据。这将允许对广泛的年龄范围进行比较，从而对衰老的影响给出更明确的结果。这也将有助于在目标人口的个人层面上分析老龄化问题。这些知识将被转移到加拿大产业，这将有利于加拿大的生物识别市场。