International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Study on Design of Fingerprint Recognition Embedded System using Neural Network

  • Kim, Dong Han (Department of Electronic Communication Eng, Korea Maritime University) ;
  • Kim, Jung Hoon (Department of Electronic Communication Eng, Korea Maritime University) ;
  • Lee, Sang Hae (Department of Electronic Communication Eng, Korea Maritime University)
  • Published : 2004.12.01
Download PDF
⟨ Previous Next ⟩

Abstract

We generated blocks from the direction-extracted fingerprint during the pre-process of the fingerprint recognition algorithm and performed training by using the direction minutiae of each block as the input pattern of the neural network, so that we extracted the core points to use in the matching. Based on this, we designed the fingerprint recognition embedded system and tested it by using the control board and the serial communication to utilize it for a variety of application systems. As a result, we can verify the reliance satisfactorily.

Keywords

References

  1. L.C.Jain, U.Halici, LHayashi, S.B.Lee, S.Tsutsui, 'Intelligent Biometric Techniques in Fingerprint and Face Recognition', CRC Press
  2. Gonzlez & Woods, 'Digital Image Processing', Addison Weley Longman, 1998
  3. Ju Sang Lee, 'A Study on the Fingerprint Recognition Method Direction using Neural Networks', Master's Thesis of Engineering Dept of Korea Maritime University, 2001
  4. Dong Han Kim, 'A Study on Design of ARM Processor based Fingerprint Recognition Signal Processing Board using Artificial InteIligence',Master's Thesis of Engineering Dept of Korea Maritime University, 2003
  5. Joon Ho Hwang, 'Design of Authentication Protocols using Biometrics and Implementation of Efficient Fingerprint Identification System', Pohang University of Science and Technology
  6. http://www.inteI.com, 'Intel StrongARM Microprocessor Development Manual'
  7. AIJI System, 'ARM7 Application Course', 2002
  8. http://www.arm.com. 'ARM Architecture'