Fingerprint Image Enhancement Using Decimation Free Directional Adaptive Mean Filtering

  • Muhammad Talal Ibrahim
  • Imtiaz A. Taj
  • M. Khalid Khan
  • M. Aurangzeb Khan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4338)


In this paper we proposed a new enhancement technique that is based on the integration of Decimation Free Directional responses of the Decimation Free Directional Filter Banks (DDFB), adaptive mean filtering and the eigen decomposition of the Hessian matrix. By decomposing the input fingerprint image into decimation free directional images, it is easy to remove the noise directionally by means of adaptive mean filtering and further eigen decomposition of the Hessian matrix was used for the segmentation purpose. As the input fingerprint image is not uniformly illuminated so we have used the bandpass filter for the elimination of non-uniform illumination and for the creation of frequency ridge image before giving it to DDFB. The final enhanced result is constructed on a block-by-block basis by comparing energy of all the directional images and picking one that provides maximum energy.


Hessian Matrix Segmented Image Directional Image Fingerprint Image Directional Filter Bank 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Muhammad Talal Ibrahim
    • 1
  • Imtiaz A. Taj
    • 1
  • M. Khalid Khan
    • 2
  • M. Aurangzeb Khan
    • 2
  1. 1.Department of Computer Engineering, Center for Advanced Studies in EngineeringIslamabadPakistan
  2. 2.Department of Electrical EngineeringCOMSATS Institute of Information TechnologyIslamabadPakistan

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