SBIR Phase I: Matching Filter Solution for High Accuracy Signature Dynamics Verification

SBIR 第一阶段：用于高精度签名动态验证的匹配滤波器解决方案

• 批准号: 0637356
• 负责人: Alexander Landau
• 金额: $ 10万
• 依托单位: VeriFax Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-01-01 至 2007-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0637356&HistoricalAwards=false
• 关键词: SBIR; Phase; Matching; Filter; Solution

This Small Business Innovation Research Phase I research project develops an advanced, high-accuracy signature verification system based on a novel handwriting dynamics signal processing of two-dimensional waveform - the x- and y-coordinates of the pen's acceleration. The key innovation of the research is the development of special signal processing techniques that convert the non-stationary, dynamic handwriting dynamic signal to a stationary one. This facilitates a matched-filter solution, and subsequently overcomes the long-standing bottleneck of insufficient accuracy of signature verification techniques, which has forestalled its application to broader markets. The proposed approach makes possible the implementation of a matched- filter for signature verification, which is the theoretically optimal method for the evaluation of statistical similarity of a signal pair. The core problem with existing techniques lies in their reliance on the mean characteristics of an individual's signatures as a template for identification. However, these mean characteristics have significant dispersion that degrades the accuracy of the systems. The application of matched filtering concept to signature verification has been impeded for long time due to the handwriting dynamic signal's non-stationarity, resulting from random milliseconds-long time delays during the handwriting process. The main purpose of the proposed project is to create a convenient reliable biometric identifier for security and privacy protection. The proposed device has a great potential commercial value. The broad customer categories include: Federal Bureau Investigations, Central Intelligence Agency, other law enforcement agencies for cyber security, as well as for security of physical access to sensitive and restricted areas, such as nuclear and chemical plants; passport control; medical providers and insurance companies for protection of medical records. The commercial sector applications include security of financial transactions, e.g. electronic fund transfers, on-line banking and other financial transactions, and card access to automated teller machines.

该小型企业创新研究第一阶段研究项目开发了一种先进的，高精度的签名验证系统，该系统基于二维波形的新型手写动力学信号处理-笔的加速度的x和y坐标。本研究的主要创新点在于开发了特殊的信号处理技术，将非平稳、动态的手写动态信号转换为平稳信号。这促进了匹配滤波器解决方案，并随后克服了签名验证技术准确性不足的长期瓶颈，这阻碍了其应用于更广泛的市场。所提出的方法使得实现用于签名验证的匹配滤波器成为可能，这是用于评估信号对的统计相似性的理论上最优的方法。现有技术的核心问题在于它们依赖于个人签名的平均特征作为识别模板。然而，这些平均特性具有显著的分散性，这降低了系统的精度。由于手写体动态信号的非平稳性，匹配滤波在签名鉴别中的应用一直受到阻碍。拟议项目的主要目的是创建一个方便可靠的生物特征标识符，用于安全和隐私保护。该装置具有很大的潜在商业价值。广泛的客户类别包括：联邦调查局、中央情报局、其他负责网络安全的执法机构，以及负责敏感和限制区域（如核电厂和化工厂）物理访问安全的执法机构;护照管制;医疗服务提供商和保护医疗记录的保险公司。商业部门的应用包括金融交易的安全，例如电子资金转账、网上银行和其他金融交易，以及用卡进入自动柜员机。