Selection of heart-biometric templates for fusion

Islam S., Ammour N., Alajlan N., Abdullah-Al-Wadud M.

IEEE Access, vol.5, pp.1753-1761, 2017 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 5
  • Publication Date: 2017
  • Doi Number: 10.1109/access.2017.2667224
  • Journal Name: IEEE Access
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1753-1761
  • Keywords: Biometrics, authentication, feature extraction, electrocardiography, heartbeat signal, score fusion
  • TED University Affiliated: No

Abstract

The heart is potentially a highly secured biometric modality. Although many templates have been proposed to be extracted from heart-signal for biometric authentication, they have yet to reach a single digit equal error rate (EER) of false matches and false non-matches when applied on large across-session data sets, where gallery and probe data are taken from different sessions. However, since different templates possess different strengths, the fusion of them has a great potential to improve the authentication performance. We propose an efficient template selection algorithm to select a suitable subset of templates from a given set to obtain a minimal EER. The fusion of the subset of templates selected by this algorithm from a set of seven state-of-the-art templates has obtained a significant 5% reduction of EER in authentication in our experiments on a large database of finger-based ECG signals captured in two different sessions.