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Biometrics Ethical and Privacy Issues

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Biometrics Ethical and Privacy Issues
Biometrics Ethical and Privacy Issues

9/9/12

Abstract

Biometrics technology aims at utilizing major and distinctive characteristics such as behavioral or biological, for the sake of positively indentifying people. With the help of a combination of hardware and specific identifying sets of rules, a basic human attribute, automated biometric recognition mimics to distinguish and categorize other people as individual and unique. But the challenges surrounding biometrics are great as well.

Biometrics Ethical and Privacy Issues

Introduction
Biometric systems are technologies that can scan physiological, chemical or behavioral characteristics of a subject for the sake of verifying or in other words authenticating their identity. It is the latest weapon in the fight against computer crime and identity theft. These technologies work with the help of sampling distinctive biological features, such as tracing patterns of blood vessels in the retina, voice recognition or fingerprinting. Later biological features are extracted and then converted into mathematical codes which are then stored as a biometric template. In order to confirm the identity of the user, they will be required to interact with the system scanner which will process the users identitywith the help of an iris or fingerprint scan. This sample is then compared with the template for a positive match and therefore, access is either granted or denied accordingly.

Discussion
Biometrics is a different and captivating field and this huge variety of the field is generally compounded with the help of behavioral and biological disparity in different individuals, which also makes it an exciting challenge in order to assess, arrange , and operate biometric installations. It is important to note that no matter the type of biometric identification process is used, the basics of how match decisions are made are similar in all biometrics. There are a number of computer systems which require a



References: Dunston, T. & Yager, N. (2008), “Biometric System and Data Analysis: Design, Evolution and Data Mining”, Springer Duquenoy, P., Jones, S. & Blundell, B.G. (2008), “Ethical, Legal and Professional Issues in Computing”, Cengage Learning EMEA Kumar, A. & Zhang, D. (2010), “Ethics and Policy of Biometrics”, Springer

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