Biometric Recognition Based on Fingerprint: A Comparative Study

@article{Dur2017BiometricRB,
  title={Biometric Recognition Based on Fingerprint: A Comparative Study},
  author={Bruno Matarazzo Dur� and Jonas Mendon�a Targino and Clodoaldo Aparecido de Moraes Lima},
  journal={2017 Workshop of Computer Vision (WVC)},
  year={2017},
  pages={84-89}
}
Fingerprint recognition is regarded as one of the most popular and reliable techniques for automatic personal identification due to the well-known distinctiveness and persistence of fingerprints. A critical issue in biometric system design is the choice of classifier. In this paper, we conducted a systematic performance evaluation of the five classifiers (Neural Networks, Support Vector Machines configured with radial basis function, Optimum Path Forest, K-nearest neighbors and Extreme Learning… CONTINUE READING

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