Biometric scanner technology - Market Assessment

生物识别扫描仪技术 - 市场评估

• 批准号: 516413-2017
• 负责人: Shaker, George
• 金额: $ 1.08万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Idea to Innovation
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618630
• 关键词: Biometric; scanner; technology; Market; Assessment

Biometrics offer a personal and convenient way of keeping our identities and our data secure. There are manybiometric authentication methods that have been extensively studied, ranging from fingerprint scanners toretina sensors to facial recognition software. Of these, fingerprinting is likely the most well-known, and hasbeen achieved through a wide variety of methods, whether based on infrared, multiple camera systems, or onacoustic waves. However, all of these have been shown to be prone to skimming and identity theft. In most ofsuch cases, criminals can create a 3D printed finger or hand with identical features to those of a user finger orhand when exposed to the aforementioned fingerprint scanners.A method of using wireless waves to identify various individuals has been developed. In this system, thecompact transceiver has several transmit and receiver antennas. The transmitter(s) send a sequence of signalswhich are absorbed, reflected, and scattered from a nearby part of the body of a user (a hand in our demo case)and the resulting signal is detected at a receiver(s) antenna. Different signal processing algorithms are appliedto the received signals to create a rich feature dataset. The resulting dataset is classified using machine learningmodels, which are shown to facilitate identifying a group of individuals with high accuracy.This technology has promising applications as an independent or an auxiliary tool for biometric authentication.The technology promises to be of a much higher level of security and immunity against identity thefts andhacking attempts than existing technologies.Potential Applications- Border Control/Airports.- Military Security Systems.- Voter registration and identification.

生物识别技术提供了一种个人和方便的方式来保护我们的身份和数据安全。有许多生物识别认证方法已经被广泛研究，从指纹扫描仪到视网膜传感器到面部识别软件。其中，指纹识别可能是最知名的，并且已经通过各种各样的方法实现，无论是基于红外线，多摄像机系统还是声波。然而，所有这些都被证明是容易撇取和身份盗窃。在大多数此类情况下，犯罪分子可以创建一个3D打印的手指或手，当暴露于上述指纹扫描仪时，其特征与用户手指或手的特征相同。在这个系统中，紧凑的收发器有几个发射和接收天线。发射器发送一系列信号，这些信号从用户身体的附近部位（在我们的演示案例中是手）吸收、反射和散射，产生的信号在接收器天线处被检测到。不同的信号处理算法应用于接收到的信号，以创建丰富的特征数据集。结果数据集使用机器学习模型进行分类，这表明有助于以高精度识别一组个体。该技术作为生物特征认证的独立或辅助工具具有很好的应用前景。该技术有望比现有技术具有更高的安全性和对身份盗窃和黑客攻击的免疫力。潜在应用-边境管制/机场。军事安全系统。选民登记和身份查验。