Directional filter bank-based fingerprint feature extraction and matching

@article{Park2004DirectionalFB,
  title={Directional filter bank-based fingerprint feature extraction and matching},
  author={Chul-Hyun Park and Joon-Jae Lee and Mark J. T. Smith and Sang-il Park and Kil-Houm Park},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2004},
  volume={14},
  pages={74-85}
}
The paper presents a new filter bank-based fingerprint feature extraction and matching method without needing to detect minutiae. The proposed method decomposes a fingerprint image into eight directional subband outputs using a directional filter bank (DFB) and then obtains directional energy distributions for each block from the decomposed subband outputs. Only dominant directional energy components are employed as elements of the input feature vector, which serves to reduce noise and improve… CONTINUE READING
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Filterbank-based fingerprint matching

  • IEEE Trans. Image Processing, vol. 9, pp. 846–859…
  • 2000
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Wavelet domain features for fingerprint recognition

  • M. Tico, P. Kuosmanen, J. Saarinen
  • Electron. Lett., vol. 37, no. 1, pp. 288–290, Jan…
  • 2001

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