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A survey of automated biometric authentication techniques

机译:自动化生物特征认证技术概述

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Biometric authentication refers to the automatic identification of a person by analyzing their physiological and/or behavioral characteristics or traits. Since many physiological and behavioral characteristics are unique to an individual, biometrics provides a more reliable system of authentication than ID cards, keys, passwords, or other traditional systems. A wide variety of organizations are using automated person authentication systems to improve customer satisfaction, operating efficiency as well as to secure critical resources. Now a day an increasing number of countries including India have decided to adopt biometric systems for national security and identity theft prevention, which makes biometrics an important component in security-related applications such as: logical and physical access control, forensic investigation, IT security, identity fraud protection, and terrorist prevention or detection. Various biometric authentication techniques are available for identifying an individual by measuring fingerprint, hand, face, signature, voice or a combination of these traits. New biometric algorithms and technologies are proposed, tested, reviewed, and implemented every year. This paper aims to give a brief overview of the field of biometrics and summarize various biometric authentication techniques including its strengths and limitations.
机译:生物特征认证是指通过分析一个人的生理和/或行为特征或特质来自动识别一个人。由于许多生理和行为特征是个人独有的,因此生物识别技术提供了比ID卡,密钥,密码或其他传统系统更可靠的身份验证系统。各种各样的组织都在使用自动人员身份验证系统来提高客户满意度,运营效率以及保护关键资源。如今,包括印度在内的越来越多的国家决定采用生物识别系统来保护国家安全和防止身份盗用,这使生物识别成为与安全相关的应用程序中的重要组成部分,这些应用程序包括:逻辑和物理访问控制,法医调查,IT安全,身份欺诈保护以及恐怖分子的预防或侦查。各种生物特征认证技术可用于通过测量指纹,手,脸,签名,声音或这些特征的组合来识别个人。每年都会提出,测试,审查和实施新的生物识别算法和技术。本文旨在简要介绍生物识别技术领域,并总结各种生物识别技术,包括其优势和局限性。

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