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A review on fingerprint orientation estimation methods

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
As a global feature of fingerprint, orientation field plays important roles in most of image preprocessing methodsused in automatic fingerprint identification system (AFIS). Many algorithms have been proposed for orientation field estimation. This paper reviews the advantages and disadvantages of existing fingerprint orientation estimation methods. Issues on possible directions of further development have been presented.
Rocznik
Tom
Strony
95--102
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
  • University of Silesia, Institute of Computer Science, Computer Systems Department, Będzińska 39, 41-200 Sosnowiec, Poland
Bibliografia
  • [1] KARU K., JAIN A. K., Fingerprint classification. Pattern Recognition, 1996, Vol. 29, No. 3, pp. 389–404.
  • [2] HALICI U., ONGUN G., Fingerprint classification through self-organizing feature maps modified to treat uncertainties. Proceedings of the IEEE, 1996, Vol. 84, No. 10, pp. 1497–1512.
  • [3] COSTA S. M., FERNANDEZ F. J., OLIVEIRA J. M., A New Paradigm on Fingerprint Classification using Directional Image. SIBGRAPI, 2002, pp. 405.
  • [4] HONG L., JAIN A. K., WAN Y., Fingerprint Image Enhancement: Algorithm and Performance Evaluation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1998, Vol. 20, No. 8, pp. 777-789.
  • [5] CHIKKERUR S., CARTWRIGHT A. N., GOVINDARAJU V., Fingerprint enhancement using STFT analysis. Pattern Recogn. 2007, Vol. 40, No. 1, pp. 198-211.
  • [6] JAIN A.K., BOLLE R.,PANKANTI S., Biometrics: Personal Identification in Networked Society, Kluwer, New York, 1999.
  • [7] MALTONI D., MAIO D., JAIN A.K., PRABHAKAR S., Handbook of Fingerprint Recognition. Springer-Verlag, 2003.
  • [8] PORWIK P., WIĘCŁAW Ł., A new approach to reference point location in fingerprint recognition. IEICE Int. Journal Electronics Express. Japan. 2004, Vol. 1, No. 18, pp. 575-581.
  • [9] LIU M., JIANG X., KOT A. C.: Fingerprint reference-point detection. EURASIP J. Appl. Signal Process. 2005, pp. 498-509.
  • [10] BAZEN A. M. GEREZ S. H., Systematic Methods for the Computation of the Directional Fields and Singular Points of Fingerprints. IEEE Trans. Pattern Anal. Mach. Intell. 2002, Vol. 24, No. 7, pp. 905-919.
  • [11] WRÓBEL K., DOROZ R., New Method For Finding a Reference Point in Fingerprint Images With the Use Of The IPAN99 Algorithm. Journal of Medical Informatics & Technologies. 2009, Vol. 13, pp. 59-64.
  • [12] KASS M., WITKIN A., Analyzing Orientated Pattern. Computer Vision, Graphics and Image Processing, 1987, Vol. 37, pp. 362-397.
  • [13] WIĘCŁAW Ł., Fingerprint Orientation Field Enhancement. Computer Recognition Systems 4, Advances in Intelligent and Soft Computing, Springer-Verlag 2011, Vol. 95, pp. 33-40.
  • [14] MONRO D. M., SHERLOCK B. G., A model for interpreting fingerprint topology. Pattern recognition, 1993, Vol. 26, No. 7, pp. 1047.
  • [15] GU J., ZHOU J., Modeling orientation fields of fingerprints with rational complex functions. Pattern Recognition, 2004, Vol. 37, No. 2, pp. 389–391.
  • [16] VIZCAYA P., GERHARDT L., A nonlinear orientation model for global description of fingerprints, Pattern Recognition., 1996, Vol. 29, No. 7, pp. 1221–1231.
  • [17] ZHOU J., GU J., A model-based method for the computation of fingerprints’ orientation field. IEEE Transactions on Image Processing. 2004, Vol. 13, pp. 821—835.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0028-0011
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