A secured mobile phone based on embedded fingerprint recognition systems

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

doi:10.1007/11427995_57

A secured mobile phone based on embedded fingerprint recognition systems

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

^*Corresponding author for this work

University of Chinese Academy of Sciences

Research output: Contribution to journal › Conference article › peer-review

14 Scopus citations

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 subsystem 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.

Original language	English
Pages (from-to)	549-553
Number of pages	5
Journal	Lecture Notes in Computer Science
Volume	3495
DOIs	https://doi.org/10.1007/11427995_57
State	Published - 2005
Externally published	Yes
Event	IEEE International Conference on Intelligence and Security Informatics, ISI 2005 - Atlanta, GA, United States Duration: 19 May 2005 → 20 May 2005

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title = "A secured mobile phone based on embedded fingerprint recognition systems",

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 subsystem 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.",

author = "Xinjian Chen and Jie Tian and Qi Su and Xin Yang and Wang, \{Fei Yue\}",

year = "2005",

doi = "10.1007/11427995\_57",

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pages = "549--553",

journal = "Lecture Notes in Computer Science",

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note = "IEEE International Conference on Intelligence and Security Informatics, ISI 2005 ; Conference date: 19-05-2005 Through 20-05-2005",

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TY - JOUR

T1 - A secured mobile phone based on embedded fingerprint recognition systems

AU - Chen, Xinjian

AU - Tian, Jie

AU - Su, Qi

AU - Yang, Xin

AU - Wang, Fei Yue

PY - 2005

Y1 - 2005

N2 - 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 subsystem 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.

AB - 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 subsystem 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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AN - SCOPUS:24944433585

SN - 0302-9743

VL - 3495

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JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - IEEE International Conference on Intelligence and Security Informatics, ISI 2005

Y2 - 19 May 2005 through 20 May 2005

ER -

A secured mobile phone based on embedded fingerprint recognition systems

Abstract

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