A Secured Mobile Phone Based on Embedded Fingerprint Recognition Systems

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.

[1]  Anil K. Jain,et al.  Fingerprint Image Enhancement: Algorithm and Performance Evaluation , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Mohamed S. Kamel,et al.  Image Analysis and Recognition , 2014, Lecture Notes in Computer Science.

[3]  Kaoru Uchida Fingerprint-based user-friendly interface and pocket-PID for mobile authentication , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[4]  Jie Tian,et al.  A minutiae matching algorithm in fingerprint verification , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[5]  Byoungju Choi,et al.  An interaction testing technique between hardware and software in embedded systems , 2002, Ninth Asia-Pacific Software Engineering Conference, 2002..

[6]  M. H. El-Malaki,et al.  Towards automating hardware/software co-design , 2004 .

[7]  Xinjian Chen,et al.  A Matching Algorithm Based on Local Topologic Structure , 2004, ICIAR.