Abstract
Automatic Fingerprint Identification Systems (AFIS) are widely used for personal identification due to uniqueness of fingerprints. Fingerprint reference points are useful for fingerprint classification and even for fingerprint matching algorithms. In this paper, we present a modified algorithm for singular points detection (cores and deltas) with high accuracy. Optimally located cores and deltas are necessary for classification and matching of fingerprint images. The previous techniques detect only a single core point which is inefficient to classify an image. The basic feature of our technique is that it computes all the cores along with all the deltas present in a fingerprint image. The proposed algorithm is applied on FVC2002, and experimental results are compared with the previous techniques, which verify the accuracy of our algorithm.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Jain, A., Pankanti, S.: Fingerprint Classification and Matching. In: Bovik, A. (ed.) Handbook for Image and Video Processing. Academic Press, London (2000)
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition. Springer, Heidelberg (2003)
Hong, L., Jain, A.K.: Classification of fingerprint images. In: Proc. of Eighth Scandinavian Conf. on Image Analysis, Kangerlussuaq, Greenland, June 7-11 (1999)
Jain, A.K., Hong, L., Boole, R.: One-line Finger-print Verification. IEEE Transactions, PAMI 19(4), 302–314 (1997)
Jain, A., Ruud Bolle, S.P.: Biometrics-personal identification. In: Networked Society, p. 411. Kluwer Academic Publishers, Dordrecht (1998)
Maio, D., Maltoni, D.: Direct gray-scale minutiae detection in fingerprints. IEEE Trans. On Pattern Analysis and machine Intelligence 19, 27–40 (1997)
Wang, S., Wang, Y.: Fingerprint Enhancement in the Singular point Area. IEEE Signal processing letters 11(1), 16–19 (2004)
Wang, S., Wei Wei Zhang, Y.S.W.: Fingerprint Classification by directional fields. In: Proceedings of the Fourth IEEE International Conference on Multi-modal Interfaces (ICM 2002) (2002)
Kalle Karu, A.J.: Fingerprint Classification. Pattern Recognition 18(3), 389–404 (1996)
Julasayvake, A., Choomchuay, S.: A Combined Technique in Fingerprint Core point Detection (2007)
Usman Akram, M., Anwar, R., Arshad, R., Dr. Khan, S.A.: Core Point detection using Fine Orientation Field Estimation. In: 3rd International Conference on Computer Vision Theory and Application (VISAPP), Portugal, January 2008 (in press)
Kawagoe, M., Tojo, A.: Fingerprint Pattern Classification. Pattern Recognition 17, 295–303 (1984)
Bazen, A.M., Garez, S.H.: Extraction of Singular Points from Directional Fields of Fingerprints. In: Mobile communication in perspective, CTIT Workshop Mobile Comunication, University of Twante, Enschede, The NetherLands, February 2001, pp. 41–44 (2001)
Gu, J., Zhou, J.: A Novel model for Orientation Field of Fingerprints. In: Proc. Of IEEE conference on Computer vision and Pattern Recognition (CVPR 2003), vol. 2, pp. 493–498 (2003)
Zhou, J., Gu, J.: A Model-based method for the computation of fingerprint Orientation Field. IEEE Transactions on Image Processing 13(6), 821–835 (2004)
Lim, Jae, S.: Two dimensional Signal Image Processing (1990)
Shi, Z., YangSheng Wang, J.Q., Xu, K.: A new Segmentation algorithm for low quality finger-print image. In: IEEE proceedings of the Third International Conference on Image and Graphics (2004)
Jain, A.K., Salil Prabhakar, L.H., Pankanti, S.: Filterbank-based Fingerprint Matching. IEEE Transactions on Image processing 9(5), 846–859 (2000)
Monro, D., Sherlock, B.: A Model for interpreting fingerprint topology. Pattern Recognition 26(7), 1047–1055 (1993)
FVC. Fingerprint Verification Contest 2002 (2002), http://bias.csr.unibo.it/fvc2002.html
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Anwar, R., Akram, M.U., Arshad, R., Munir, M.U. (2008). A Modified Singular Point Detection Algorithm. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_90
Download citation
DOI: https://doi.org/10.1007/978-3-540-69812-8_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69811-1
Online ISBN: 978-3-540-69812-8
eBook Packages: Computer ScienceComputer Science (R0)