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

^*此作品的通讯作者

University of Chinese Academy of Sciences

科研成果: 期刊稿件 › 会议文章 › 同行评审

14 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	549-553
页数	5
期刊	Lecture Notes in Computer Science
卷	3495
DOI	https://doi.org/10.1007/11427995_57
出版状态	已出版 - 2005
已对外发布	是
活动	IEEE International Conference on Intelligence and Security Informatics, ISI 2005 - Atlanta, GA, 美国期限: 19 5月 2005 → 20 5月 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\}",

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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.

UR - https://www.scopus.com/pages/publications/24944433585

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DO - 10.1007/11427995_57

M3 - 会议文章

AN - SCOPUS:24944433585

SN - 0302-9743

VL - 3495

SP - 549

EP - 553

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

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