Enhancing Performance of Cancellable Fingerprint Biometrics Using Classifier Ensembles

@article{Canuto2010EnhancingPO,
  title={Enhancing Performance of Cancellable Fingerprint Biometrics Using Classifier Ensembles},
  author={Anne M. P. Canuto and Fernando Pintro and Antonino Feitosa Neto and Michael C. Fairhurst},
  journal={2010 Eleventh Brazilian Symposium on Neural Networks},
  year={2010},
  pages={55-60}
}
Biometric systems automatically recognize individuals based on their physiological and/or behavioral characteristics like fingerprint, face, hand-geometry, iris, retina, palmprint, voice, gait, signature, and keystroke dynamics. These systems offer several advantages over traditional forms of identity protection (e.g. password-based). Nevertheless, many… CONTINUE READING