Abstract
Generally, the minutiae sent to the final matching phase are extracted from the skeleton images. The accuracy of minutiae extraction depends on the quality of the skeleton image. This paper presents a novel approach of fully reconstructing the fingerprint images besides using the traditional procedures of fingerprint enhancement. The reconstruction would not only improve the quality of the skeleton image but also increase the accuracy of minutiae extraction and improve the recognition results. The proposed algorithm deals with the three quality degrading problems in skeleton images; ridges not being strictly continuous, parallel ridges not being well separated, and finally the ridges not being smooth.
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Malik, R., Masood, A. (2009). Fingerprint Enhancement and Reconstruction. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence. ICIC 2009. Lecture Notes in Computer Science(), vol 5755. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04020-7_71
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DOI: https://doi.org/10.1007/978-3-642-04020-7_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04019-1
Online ISBN: 978-3-642-04020-7
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