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New method for finding a reference point in fingerprint images with the use of the IPAN99 algorithm

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Języki publikacji
EN
Abstrakty
EN
This study presents a new method for finding a reference point in fingerprint images. The proposed method is based on the IPAN99 algorithm, which detects high curvature points on a contour of a graphical object. This algorithm was adjusted in the study to detect high curvature points on friction ridges. It allows locating a reference point on a fingerprint image. Since the IPAN99 algorithm requires that the thickness of an analysed contour should be of one pixel, each fingerprint image was adequately prepared before submitting to the analysis with the IPAN99 algorithm. Evaluation of the efficiency of the method consisted in comparing the distances between coordinates of reference points determined with the use of the proposed method and indicated by an expert. The developed method was compared with other algorithms used for determining a reference point.
Słowa kluczowe
Rocznik
Tom
Strony
59--63
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
autor
  • University of Silesia, Institute of Computer Science, 41-200 Sosnowiec, Będzińska 39, Poland
autor
Bibliografia
  • [1] CHETVERIKOV D., SZABO Z., Detection of high curvature points in planner curves. In 23rd Workshop of the Austrian Pattern Recognition Group, pp. 175–184, 1999.
  • [2] Fingerprint Verification Competition: http://bias.csr.unibo.it/fvc2006
  • [3] GOŁUCH P., Charakteryzacja konturu 2D przy pomocy punktów brzegowych o największej krzywiźnie (in polish), praca licencjacka, promotor: W. Kotarski, Uniwersytet Śląski, Sosnowiec, 2003.
  • [4] GREENBERG S., ALADJEM M., KOGAN D., DIMITROV I., Fingerprint image enhancement using filtering techniques. Proceedings of the 15th International Conference on Pattern Recognition (ICPR’00), Vol. 3, pp. 322–325, Barcelona, Spain, 2000.
  • [5] JAIN A.K., PRABHAKAR S., JONH L., PANKANTI S., Filterbank-based fingerprint matching. IEEE Transactions on Image Processing, Vol. 9, No. 5, pp.846–859, 2000.
  • [6] MALTONI D., MAIO D., JAIN A.K., PRABHAKAR S., Handbook of Fingerprint Recognition. Springer professional computing series, NY, 2003.
  • [7] PARK U., PANKANTI S., JAIN A.K., Fingerprint verification using SIFT features. SPIE Defense and Security Symposium, paper 6944-19, Orlando, USA, 2008.
  • [8] PAVLIDIS T., A thinning algorithm for discrete binary images. Computer Graphics and Image Processing, Vol. 13, pp.142–157, 1980.
  • [9] PORWIK P., WIĘCŁAW Ł., The New Efficient Method of Fingerprint Image Enhancement. International Journal of Biometrics, Vol. 1, No. 1, pp. 36-46, Inderscience Publisher, 2008.
  • [10] PORWIK P., WIĘCŁAW Ł., Fingerprint Reference Point Detection Using Neighbourhood Influence Method. Advances in Intelligent and Soft Computing, Vol. 45, Computer Recognition Systems, pp. 768-794, Springer-Verlag, 2007.
  • [11] PORWIK P., WRÓBEL K., The new algorithm of fingerprint reference point location based on identification masks. Advances in Intelligent and Soft Computing, Vol. 30, Computer Recognition Systems, pp. 807-814, Springer-Verlag, 2005.
  • [12] WANG R., BHANU B., Predicting fingerprint biometrics performance from a small gallery. Pattern Recognition Letters, Vol. 28, No. 1, pp.40–48, 2007.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0002-0012
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