Abstract
This paper presents comparison of three minutiae matching techniques, i.e. Hough transform, global star method and orientation correlation. Short description of the pre-processing stage based on filtering, thinning and minutiae extraction is presented. The investigations are performed with a high quality fingerprint scanner.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Hong L, Wan Y, Jain A (1998) Fingerprint Image Enhancement: Algorithm and Performance Evaluation. IEEE Trans. PAMI, 20(8):777–789
Maltoni D, Maio D, Jain A. and Prabhakar P (2003) Handbook of Fingerprint Recognition. Springer, New York
Stock R., Swonger C. (1969) Development and evaluation of a reader of fingerprint minutiae. Cornell Aeronautical Laboratory, Technical Report
Ratha N, Karu K, Chen S, Jain A (2004) A Real-time Matching System for Large Fingerprint Databases. IEEE Trans. PAMI, 18(8):799–813
Wahab A, Chin S, Tan E (1998) Novel approach to automated fingerprint recognition. IEE proc.-Visual Image Signal Processing, 145(3):160–166.
Grzeszyk C (1992) Dactyloscopy. PWN, Warsaw (in Polish)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hrebień, M., Marciniak, A., Korbicz, J. (2005). Comparison of Minutiae Matching Techniques. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_91
Download citation
DOI: https://doi.org/10.1007/3-540-32390-2_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
Online ISBN: 978-3-540-32390-7
eBook Packages: EngineeringEngineering (R0)