A Self-tuning People Identification System from Split Face Components

  • Maria De Marsico
  • Michele Nappi
  • Daniel Riccio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5414)

Abstract

Multimodal systems can solve a number of problems found in unimodal approaches. We experimented going further along this line, by dividing the face into distinct regions (components) and processing each of them within a single subsystem. Such subsystems are then embedded in a more complex multicomponent architecture. In this way, typical tools of multimodal systems, such as reliability margins or fusion schemes, can be usefully extended to the single face biometry. An additional innovation element in this work is the definition of a global system auto-verification and auto-tuning policy able to produce a significant accuracy enhancement. The paper explores three integration architectures with different subsystem interconnection degree, demonstrating that a tight component interaction increases system accuracy and allows identifying unstable subsystems.

Keywords

Face Recognition Probe Sequence Fusion Rule Equal Error Rate False Acceptance Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Maria De Marsico
    • 2
  • Michele Nappi
    • 1
  • Daniel Riccio
    • 1
  1. 1.Universitá Degli Studi di SalernoFiscianoItaly
  2. 2.Universitá Degli Studi di Roma - La SapienzaRomaItaly

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