Decision Level Fusion Framework for Face Authentication System

  • V. Vaidehi
  • Teena Mary Treesa
  • N. T. Naresh Babu
  • A. Annis Fathima
  • S. Vasuhi
  • P. Balamurali
  • Girish Chandra
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 110)


In this paper, multiple algorithm and score-level fusion for enhancing the performance of the face based biometric person authentication system is proposed. Though many algorithms are conferred, several crucial issues are still involved in the face authentication. Most traditional algorithms are based on certain assumptions failing which the system will not give appropriate results. Due to the inherent variations in face with time and space, it is a big challenge to formulate a single algorithm based on the face biometric that works well under all variations. This paper addresses the problem of illumination and pose variations, by using three different algorithms for face recognition: Block Independent Component Analysis (B-ICA), Discrete Cosine Transform (DCT) and Kalman filter. The weighted average based score level fusion is performed to improve the results obtained by the system. An intensive analysis of the various algorithms has been performed and the results indicate an increase in accuracy of the proposed system.


Biometric B-ICA DCT Empirical mode decomposition Face detection Kalman filtering Score level fusion 



Authors acknowledge Tata Consultancy Service (TCS), Bangalore, INDIA, for supporting this work.


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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • V. Vaidehi
    • 1
  • Teena Mary Treesa
    • 2
  • N. T. Naresh Babu
    • 2
  • A. Annis Fathima
    • 2
  • S. Vasuhi
    • 2
  • P. Balamurali
    • 3
  • Girish Chandra
    • 3
  1. 1.Head of the Department of Computer TechnologyMIT, Anna UniversityChennaiIndia
  2. 2.Department of Electronics EngineeringMIT, Anna UniversityChennaiIndia
  3. 3.Innovations labTCS BangaloreBangaloreIndia

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