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Using biometric-based identification systems in Brazil: A review on low cost fingerprint techniques on-the-go

机译:在巴西使用基于生物特征的识别系统:正在进行中的低成本指纹技术的评论

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Automatic authentication has become an essential service in several public areas. However, although the technology related with this kind of service has evolved, the price tag of its use is not affordable for most countries. In the so-called "under developed" counties, such as Brazil, South Africa and India, for example, registration systems are often paper-based and/or cover only a fraction of the population. Thus, the reality is that there is an increasing gap into the usage of such technologies amongst different countries and it can be a factor that makes development more difficult and, therefore, less inclusive. One of the main technologies used for automatic identity prediction is based on biometrics analysis, which can distinguish physical or behavioural features to help overcome the traditional paper-based identity systems. Despite the limitations already mentioned, Brazil is known to have introduced several different uses of biometric-based technologies for authentication. However, the use of these technologies is not always ideal and, since the population size is a key factor, it is essential to select the most affordable option which is not necessarily the most adequate for the country's needs. This paper will focus on establishing what biometricbased solutions exist in Brazil today, "highlighting the main challenges, as well as briefly proposing a new prototype for mobile fingerprint acquisition. (C) 2016 Marjory Da Costa-Abreu and Stephen Smith. Published by Elsevier Ltd. All rights reserved.
机译:自动身份验证已成为几个公共区域中的一项基本服务。但是,尽管与这种服务相关的技术已经发展,但对于大多数国家来说,使用这种服务的价格并不昂贵。例如,在所谓的“欠发达”县中,例如巴西,南非和印度,注册系统通常是基于纸张的,并且/或者仅覆盖一部分人口。因此,现实情况是,不同国家之间在使用此类技术方面的差距越来越大,这可能是使发展更加困难,因而包容性降低的一个因素。用于自动身份预测的主要技术之一是基于生物特征分析,它可以区分身体或行为特征,以帮助克服传统的基于纸张的身份系统。尽管已经提到了局限性,但众所周知巴西已经引入了几种不同的基于生物特征的技术进行身份验证。但是,使用这些技术并不总是理想的,并且由于人口规模是关键因素,因此必须选择最实惠的选项,而该选项不一定最适合该国的需求。本文将着重于建立当今在巴西存在的基于生物识别技术的解决方案,“突出主要挑战,并简要提出移动指纹采集的新原型。(C)2016 Marjory Da Costa-Abreu和Stephen Smith。由Elsevier Ltd.发行。 版权所有。

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