Context Switching Algorithm for Selective Multibiometric Fusion

  • Mayank Vatsa
  • Richa Singh
  • Afzel Noore
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5909)

Abstract

This paper presents a multimodal biometric fusion algorithm that supports biometric image quality and case-based context switching approach for selecting appropriate constituent unimodal traits and fusion algorithms. Depending on the quality of input samples, the proposed algorithm intelligently selects appropriate fusion algorithm for optimal performance. Experiments and correlation analysis on a multimodal database of 320 subjects show that the context switching algorithm improves the verification performance both in terms of accuracy and time.

Keywords

Fusion Rule Fusion Algorithm Biometric System Context Switching Image Quality Score 
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

  • Mayank Vatsa
    • 1
  • Richa Singh
    • 1
  • Afzel Noore
    • 2
  1. 1.IIIT DelhiIndia
  2. 2.West Virginia UniversityUSA

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