Minutiae Based Automatic Fingerprint Recognition: Machine Learning Approaches

@article{Ali2015MinutiaeBA,
  title={Minutiae Based Automatic Fingerprint Recognition: Machine Learning Approaches},
  author={Amjad Ali and Rehanullah Khan and Irfan Ullah and Adnan Daud Khan and Abid Munir},
  journal={2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing},
  year={2015},
  pages={1148-1153}
}
Personnel identification has become a mandatory requirement in a large number of applications extending from security to commercial nature in recent years. Identification mechanism using Biometric-based solutions has shown to overcome several drawbacks of traditional security measures. Among different biometric traits, fingerprint is one of the most universal, permanent and easy to acquire trait for personal identification. In this article, we investigate and evaluate the performance of the… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 16 REFERENCES

FVC2002: Fingerprint Verification Competition

  • D.Maio, D.Maltoni, R.Cappli, J.L.Wayman, A.K..Jain
  • Biolab internal Tech.Rep. University of Bolonga…
  • 2002
Highly Influential
13 Excerpts

“ An Algorithm For Training Multilayer Perceptron ( MLP ) ” , For Image Reconstruction Using Neural Network Without Overfitting

  • Y. S. Wang
  • 2015

Similar Papers

Loading similar papers…