Cross-Pollination of Normalization Techniques From Speaker to Face Authentication Using Gaussian Mixture Models

@article{Wallace2012CrossPollinationON,
  title={Cross-Pollination of Normalization Techniques From Speaker to Face Authentication Using Gaussian Mixture Models},
  author={Roy Wallace and Mitchell McLaren and Chris McCool and S{\'e}bastien Marcel},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2012},
  volume={7},
  pages={553-562}
}
This paper applies score and feature normalization techniques to parts-based Gaussian mixture model (GMM) face authentication. In particular, we propose to utilize techniques that are well established in state-of-the-art speaker authentication, and apply them to the face authentication task. For score normalization, T-, Z- and ZT-norm techniques are evaluated. For feature normalization, we propose a generalization of feature warping to 2D images, which is applied to discrete cosine transform… CONTINUE READING
Highly Cited
This paper has 29 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, and topics from this paper.

Key Quantitative Results

  • The normalization techniques are shown to generalize well to the face authentication task, resulting in relative improvements in half total error rate (HTER) of between 17% and 62%.

Citations

Publications citing this paper.
Showing 1-10 of 17 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 33 references

A comparison of feature normalization techniques for PCA-based palmprint recognition

  • V. Struc, N. Pavesic
  • Proc. MATHMOD, 2009, pp. 2450–2453.
  • 2009

Similar Papers

Loading similar papers…