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Improved pores detection in fingerprints by applying ring led's (525 nm)

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Języki publikacji
EN
Abstrakty
EN
The requirement to determine the identity of a person is becoming more and more important in the present information society. There are a number of biometric based identification and verification systems on the market for many civilian, military and forensic applications. Amongst the reliable biometric systems, fingerprint authentication plays a major role, as fingerprints are not just related to criminality anymore. Several automated fingerprint identification or verification systems dictate the market and some apply pores as additional feature to the traditionally applied minutiae systems to improve the system performance. There is, however, a financial trade off between detection of pores and the complexity of the applied optical system. In this paper, the impact of using strike light and the application of a specific wavelength to improve the reflection on the skin is presented to improve the imaging performance of existing automated fingerprint identification or verification systems (AFIS or AFVS). The results are fingerprint images with distinct pores necessary for the image and feature processing. With the introduction of computers it became possible to automate data of fingerprints. The template (original) fingerprint images are compared with the live scan images, resulting in a match score. This match score is defined in terms of the number of false accepts and false reject errors and determines the performance of the system. Despite the inverse relation of these error rates, the lower both rates, the better the system. The final result of the introduced unique features is a system with error rates significantly better than with systems applying standard prism based white light sensors. The application of all presently available fingerprint sensor systems has been extended significantly after the September 11-th incident.
Czasopismo
Rocznik
Strony
843--861
Opis fizyczny
Bibliogr. 15 poz.
Twórcy
  • Eindhoven University of Technology, epartment of Applied Physics, Den Dolech 2, P.O Box 513, 5600 MB Eindhoven, The Netherlands
Bibliografia
  • [1] ASHBAUGH D.R., Poroscopy, Identification News, November 1982 (this article was reprinted in The Print 11(6), 1995, pp. 1–7).
  • [2] GALTON F., Fingerprints, London, McMillan and Co., New York, 1892.
  • [3] HECHT E., Optics, Addison-Wesley Publishing Company Inc., 1987.
  • [4] JACOBS R.H.R., SCHELLEKENS P.H.J., VELZEL C.H.F., BUSSELAAR E.J., Proefopstelling Fingerline Tracking, Afstudeerverslag, Technische Universiteit Eindhoven, Faculteit Werktuigbouwkunde,Sectie Precision Engineering, Rapportnummer PE2001-053, 2001.
  • [5] JAIN A.K., LIN HONG, PANKANTI S., BOLLE R., An identity-authentication system using fingerprints,Proceedings of the IEEE 85(9), 1997, pp. 1365–1388. Improved pores detection in fingerprints... 861
  • [6] JAIN A.K., ROSS A., PRABHAKAR S., An introduction to biometric recognition, IEEE Transactions on Circuits and Systems for Video Technology 14(1), 2004, pp. 4–20.
  • [7] JAIN A.K., PRABHAKAR S., SHAOYUN CHEN, Combining multiple matchers for a high security fingerprint verification system, Pattern Recognition Letters 20(11–13), 1999, pp. 1371–1379.
  • [8] MAIO D., MALTONI D., Direct gray-scale minutiae detection in fingerprints, IEEE Transactions on Pattern Analysis and Machine Intelligence 19(1), 1997, pp. 27–40.
  • [9] O’GORMAN L., NICKERSON J.V., An approach to fingerprint filter design, Pattern Recognition 22(1),1989, pp. 29–38.
  • [10] OSTERBURG J.W., PARTHASARATHY T., RAGHAVAN T.E.S., SCLOVE S.L., Development of a mathematical formula for the calculation of fingerprint probabilities based on individual characteristics,Journal of the American Statistical Association 72(360), 1977, pp. 772–778.
  • [11] PANKANTI S., BOLLE R.M., JAIN A., Biometrics: The future of identification, Computer 33(2), 2000,pp. 46–49.
  • [12] RODDY A.R., STOSZ J.D., Fingerprint features-statistical analysis and system performance estimates,Proceedings of the IEEE 85(9), 1997, pp. 1390–1421.
  • [13] STOSZ J.D., ALYEA L.A., Automated system for fingerprint authentication using pores and ridge structure, Proceedings of the SPIE 2277, 1994, pp. 210–223.
  • [14] VELZEL C.H.F., VAN RIJNBACH M., VAN DER VEEN J.M., Elementary Optics, Eaglet Optronics, 2007.
  • [15] http://www.medicalbiocare.com/html/advantages-technical.html – Penetration depth of light in human skin.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPW7-0014-0032
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