k-Nearest Neighborhood Structure (k-NNS) based alignment-free method for fingerprint template protection

@article{Sandhya2015kNearestNS,
  title={k-Nearest Neighborhood Structure (k-NNS) based alignment-free method for fingerprint template protection},
  author={Mulagala Sandhya and Munaga V. N. K. Prasad},
  journal={2015 International Conference on Biometrics (ICB)},
  year={2015},
  pages={386-393}
}
In this paper we focus on constructing k-Nearest Neighborhood Structure(k - NNS) for minutiae points in a fingerprint image. For each minutiae point in a fingerprint, a k - NNS is constructed taking the local and global features of minutiae points. This structure is quantized and mapped onto a 2D array to generate a fixed length 1D bit-string. Further this bit string is applied with a DFT to generate a complex vector. Finally the complex vector is multiplied by a user specific random matrix to… CONTINUE READING
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