Fingerprints are currently the leading approach to biometric recognition [1]. The reasons are multiple — we mention on the one hand the more than centennial tradition of fingerprint use for forensic purposes and on the other hand the existence of some well-established experience — based rules derived along the line. Fingerprints have a specific flow dynamics, which comes in quite distinct flow patterns — these help define classes of fingerprints. The flow pattern carries various singularities, named minutiae — most important are line endings and bifurcations.
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Mihăilescu, P., Mieloch, K., Munk, A. (2008). Fingerprint Classification using Entropy Sensitive Tracing. In: Bonilla, L.L., Moscoso, M., Platero, G., Vega, J.M. (eds) Progress in Industrial Mathematics at ECMI 2006. Mathematics in Industry, vol 12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71992-2_163
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