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A Novel Fingerprint Enhancement Algorithm Using Curve Mask

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Pattern Recognition (CCPR 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 321))

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Abstract

Fingerprint image enhancement is an essential preprocessing step in fingerprint recognition applications. In this paper, a Separable Gabor filter with Bresenham (SGB) is introduced for fast fingerprint enhancement. A Curve Mask Gabor (CMG) is designed to improve the performance of SGB. Experiments are performed on FVC2004. Results indicate that the SGB can significantly reduce computational complexity, and the CMG is also faster than traditional 2-D Gabor enhancement. Moreover, the CMG can improve the enhancement performance of SGB, and obtain better enhanced images, especially in pattern and noisy areas.

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© 2012 Springer-Verlag Berlin Heidelberg

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Li, X., Zhang, L., Yin, Y. (2012). A Novel Fingerprint Enhancement Algorithm Using Curve Mask. In: Liu, CL., Zhang, C., Wang, L. (eds) Pattern Recognition. CCPR 2012. Communications in Computer and Information Science, vol 321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33506-8_38

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  • DOI: https://doi.org/10.1007/978-3-642-33506-8_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33505-1

  • Online ISBN: 978-3-642-33506-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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