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New Approaches in Intelligent Image Analysis pp 331–351Cite as

Machine Learning Techniques for Intelligent Access Control

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 108))

Abstract

Access control is a set of regulations that governs access to certain areas or information. By access we mean entering a specific area, or logging on a machine. The access regulated by a set of rules that specifies who is allowed to get access and what is the restrictions on such access. Across the years several access control systems have been developed. Due to the rapid advancement in technology over the past years, older systems are now easily by passed, thus the need to have new methods of access control. Biometrics is referred to as an authentication technique that relies on a computer system to electronically validate a measurable biological characteristic that is physically unique and cannot be duplicated. Biometrics has been used for ages as access control security system. In this chapter we will present several biometric techniques their usage, advantages and disadvantages.

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Author information

Authors and Affiliations

  1. Artificial Intelligence and Knowledge Engineering Research Labs, Computer Science Department, Faculty of Computer and Information sciences, Ain Shams University, Khalifa El-Maamon st, Abbasiya sq., Cairo, 11566, Egypt

    Wael H. Khalifa, Mohamed I. Roushdy & Abdel-Badeeh M. Salem

Authors
  1. Wael H. Khalifa
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  2. Mohamed I. Roushdy
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  3. Abdel-Badeeh M. Salem
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Corresponding author

Correspondence to Wael H. Khalifa .

Editor information

Editors and Affiliations

  1. Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

  2. University of Hyogo, Chuo-ku, Japan

    Kazumi Nakamatsu

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Khalifa, W.H., Roushdy, M.I., Salem, AB.M. (2016). Machine Learning Techniques for Intelligent Access Control. In: Kountchev, R., Nakamatsu, K. (eds) New Approaches in Intelligent Image Analysis. Intelligent Systems Reference Library, vol 108. Springer, Cham. https://doi.org/10.1007/978-3-319-32192-9_10

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  • DOI: https://doi.org/10.1007/978-3-319-32192-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32190-5

  • Online ISBN: 978-3-319-32192-9

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