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Improving Minutiae Detection in Fingerprints Using Multiresolution Contrast Enhancement

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Book cover Image Analysis and Recognition (ICIAR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4142))

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Abstract

The majority of automatic fingerprint matching systems depends on the comparison of the local ridge characteristics (bifurcation and termination), and a critical step in fingerprint matching is to extract minutiae from the input image. In this work we propose a novel ridge following algorithm based on a robust image enhancement filtering. Several experiments are carried out, showing the performances of the proposed approach.

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© 2006 Springer-Verlag Berlin Heidelberg

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Chianese, A., Moscato, V., Penta, A., Picariello, A. (2006). Improving Minutiae Detection in Fingerprints Using Multiresolution Contrast Enhancement. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867661_25

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  • DOI: https://doi.org/10.1007/11867661_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44894-5

  • Online ISBN: 978-3-540-44896-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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