Dynamic threshold using polynomial surface regression with application to the binarization of fingerprints

Krzysztof Mieloch; Preda Mihailescu; Axel Munk

doi:10.1117/12.603377

28 March 2005 Dynamic threshold using polynomial surface regression with application to the binarization of fingerprints

Krzysztof Mieloch, Preda Mihailescu, Axel Munk

Author Affiliations +

Proceedings Volume 5779, Biometric Technology for Human Identification II; (2005) https://doi.org/10.1117/12.603377
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Dynamic thresholds are a popular and effective means of binarisation, used in image processing. We show that the method is a special case of a general setting in which input data from a background window are fitted with a polynomial surface after which the data from a smaller, embedded focus window are thresholded with respect to the fitted surface. The method has been implemented and used with good results in the context of fingerprint recognition.

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Krzysztof Mieloch, Preda Mihailescu, and Axel Munk "Dynamic threshold using polynomial surface regression with application to the binarization of fingerprints", Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); https://doi.org/10.1117/12.603377

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