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Bazen, A.M. and Veldhuis, R.N.J.
(2004)
Detection of cores in fingerprints with improved dimension reduction.
In: 4th IEEE Benelux Signal Processing Symposium (SPS-2004), Hilvarenbeek, The Netherlands.
pp. 41-44.
IEEE Benelux Signal Processing Chapter.
Full text not available from this repository. AbstractIn this paper, we present a statistical approach to core detection in fingerprint images that is based on the likelihood ratio, using models of variation of core templates and randomly chosen templates. Additionally, we propose an alternative dimension reduction method. Unlike standard linear discriminant analysis (LDA), this method is able to account for differences in both the mean and the covariance matrix of two classes. We show that the method is able to correctly detect the core position in 95% of the fingerprints.
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