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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Unsupervised Fingerprint Segmentation Based on Multiscale Directional Information
verfasst von : Raoni F. S. Teixeira, Neucimar J. Leite
Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Verlag: Springer Berlin Heidelberg
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The segmentation task is an important step in automatic fingerprint classification and recognition. In this context, the term refers to splitting the image into two regions, namely,
foreground
and
background
. In this paper, we introduce a novel segmentation approach designed to deal with fingerprint images originated from different sensors. The method considers a multiscale directional operator and a scale-space toggle mapping used to estimate the image background information. We evaluate our approach on images of different databases, and show its improvements when compared against other well-known state-of-the-art segmentation methods discussed in literature.