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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Fingerprint Area Detection in Fingerprint Images Based on Enhanced Gabor Filtering
verfasst von : Michal Dolezel, Dana Hejtmankova, Christoph Busch, Martin Drahansky
Erschienen in: Database Theory and Application, Bio-Science and Bio-Technology
Verlag: Springer Berlin Heidelberg
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This paper describes a new approach to fingerprint area detection in a digital fingerprint image. This approach was evaluated for real-world scenario, specifically for fingerprints scanned from dactyloscopic fingerprint cards. These images, which compose widely used fingerprint databases, have their specific problems and properties such as handwritten or printed characters, drawings or specific noise in the background or spreaded over the fingerprint itself. Our approach was compared with three other methods and yields significantly better results than the best of the benchmarked methods.