Abstract
Proposed filtration algorithm for fingerprints images is based on iterative algorithm for image binarization which minimizes within class variance for image foreground and background classes. The proposed solution was modified to fit better to local structures of fingerprint pattern using Gabor filters and directional filtering. The algorithm was tested on fingerprint images database, with low quality images, giving very good results in reducing noise and disturbances.
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References
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© 2008 Springer-Verlag Berlin Heidelberg
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Jędryka, M., Skarbek, W. (2008). Evolutionary Algorithm for Fingerprint Images Filtration. In: Chan, CC., Grzymala-Busse, J.W., Ziarko, W.P. (eds) Rough Sets and Current Trends in Computing. RSCTC 2008. Lecture Notes in Computer Science(), vol 5306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88425-5_44
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DOI: https://doi.org/10.1007/978-3-540-88425-5_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88423-1
Online ISBN: 978-3-540-88425-5
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