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Fingerprint Area Detection in Fingerprint Images Based on Enhanced Gabor Filtering

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 118))

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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References

  1. Alonso-Fernandez, F., Fierrez-Aguilar, J., Ortega-Garcia, J.: An Enhanced Gabor Filter-Based Segmentation Algorithm for Fingerprint Recognition Systems. In: Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, pp. 239–244 (2005)

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© 2010 Springer-Verlag Berlin Heidelberg

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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

  • eBook Packages: Computer ScienceComputer Science (R0)

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