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Human Authentication Using FingerIris Algorithm Based on Statistical Approach

  • Conference paper
Networked Digital Technologies (NDT 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 87))

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Abstract

Biometric becomes nowadays, a strong tool to authenticate persons, because they are able to prove a true identity. Research shows that different applications are used in verification. Fingerprints, Face, Iris recognition are some examples. But most of them safer from FRR and FAR, so for those reasons more researches and new algorithms are needed to be developed and to solve this problem. This paper presents a system with an algorithm, uses a pair of biometrics print (fingerprint and Iris), used to gain access to personal resources, it is based on a statistical approach. Features are extracted and used to authenticate persons. Paper shows that the developed system solves the mentioned problem and accelerates matching process.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Faculty of Science, University of Sebha, Sebha, Libya

    Ahmed B. Elmadani

Authors
  1. Ahmed B. Elmadani
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Editor information

Editors and Affiliations

  1. Department of Software Engineering, Charles University in Prague, Malostranske namesti 25, 118 00, Prague, Czech Republic

    Filip Zavoral

  2. Charles University, Prague, Czech Republic

    Jakub Yaghob

  3. Al Imam University, Riyadh, Saudi Arabia

    Pit Pichappan

  4. Jordan University of Science and Technology, Irbid, Jordan

    Eyas El-Qawasmeh

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© 2010 Springer-Verlag Berlin Heidelberg

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Elmadani, A.B. (2010). Human Authentication Using FingerIris Algorithm Based on Statistical Approach. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14292-5_30

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  • DOI: https://doi.org/10.1007/978-3-642-14292-5_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14291-8

  • Online ISBN: 978-3-642-14292-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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