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A Secured Mobile Phone Based on Embedded Fingerprint Recognition Systems

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Intelligence and Security Informatics (ISI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3495))

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Abstract

This paper presents a prototype design and implementation of secured mobile phones based on embedded fingerprint recognition systems. One is a front-end fingerprint capture sub-system and the other is a back-end fingerprint recognition system based on smart phones. The fingerprint capture sub-system is an external module which contains two parts: an ARM-Core processor LPC2106 and an Atmel Finger Sensor AT77C101B. The LPC2106 processor controls the AT77C101B sensor to capture the fingerprint image. In the fingerprint recognition system, a new fingerprint verification algorithm was implemented on internal hardwares. The performance of the proposed system, with 4.16% equal error rate (EER) was examined on Atmel fingerprints database. The average computation time on a 13 MHz CPU S1C33 (by Epson) is about 5.0 sec.

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References

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Author information

Authors and Affiliations

  1. The Center for Biometrics and Security Research, Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation Chinese Academy of Science, Graduate School of the Chinese Academy of Science, P.O.Box 2728, Beijing, 100080, China

    Xinjian Chen, Jie Tian, Qi Su, Xin Yang & Fei Yue Wang

Authors
  1. Xinjian Chen
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  2. Jie Tian
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  3. Qi Su
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  4. Xin Yang
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  5. Fei Yue Wang
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Editor information

Editors and Affiliations

  1. Department of Library and Information Science, Rutgers University,  

    Paul Kantor

  2. School of Communication, Information and Library Studies, Rutgers University, 4 Huntington Street, 08901-1071, New Brunswick, NJ, USA

    Gheorghe Muresan

  3. Artificial Solutions, Altonaer Poststraße 13b, 22767, Hamburg, Germany

    Fred Roberts

  4. MIS Department, University of Arizona, 85721, Tucson, AZ, USA

    Daniel D. Zeng

  5. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Fei-Yue Wang

  6. Department of Management Information Systems, Eller College of Management, The University of Arizona, 85721, AZ, USA

    Hsinchun Chen

  7. College of Computing, Georgia Tech Information Security Center, Georgia Institute of Technology, 801 Atlantic Drive, 30332-0280, Atlanta, GA, USA

    Ralph C. Merkle

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© 2005 Springer-Verlag Berlin Heidelberg

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Chen, X., Tian, J., Su, Q., Yang, X., Wang, F.Y. (2005). A Secured Mobile Phone Based on Embedded Fingerprint Recognition Systems. In: Kantor, P., et al. Intelligence and Security Informatics. ISI 2005. Lecture Notes in Computer Science, vol 3495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427995_57

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  • DOI: https://doi.org/10.1007/11427995_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25999-2

  • Online ISBN: 978-3-540-32063-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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