Abstract
In this paper a novel approach for detecting fingerprint regions with relevant information is presented. This method is based on the capability of the wavelet transform to select image information considering at the same time spatial and frequency domains. The method has been tested with two fingerprint data bases providing excellent results. With this method the fingerprint core can be detected and also the background can be detached, providing an efficient region selection for any feature extraction method, preprocessing and matching algorithms. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Lindoso, A., Entrena, L., & Liu-Jimenez, J. (2007). Wavelet-based fingerprint region selection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4673 LNCS, pp. 391–398). Springer Verlag. https://doi.org/10.1007/978-3-540-74272-2_49
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