Abstract
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.
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Dolezel, M., Hejtmankova, D., Busch, C., Drahansky, M. (2010). Fingerprint Area Detection in Fingerprint Images Based on Enhanced Gabor Filtering. In: Zhang, Y., Cuzzocrea, A., Ma, J., Chung, Ki., Arslan, T., Song, X. (eds) Database Theory and Application, Bio-Science and Bio-Technology. BSBT DTA 2010 2010. Communications in Computer and Information Science, vol 118. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17622-7_23
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DOI: https://doi.org/10.1007/978-3-642-17622-7_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17621-0
Online ISBN: 978-3-642-17622-7
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