A secured mobile phone based on embedded fingerprint recognition systems

  • Authors:
  • Xinjian Chen;Jie Tian;Qi Su;Xin Yang;Fei Yue Wang

  • Affiliations:
  • 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 Acad ...;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 Acad ...;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 Acad ...;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 Acad ...;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 Acad ...

  • Venue:
  • ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
  • Year:
  • 2005

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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.