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An Enhanced Intrinsic Biometric in Identifying People by Photopleythsmography Signal

  • N. S. Girish Rao Salanke
  • N. Maheswari
  • Andrews Samraj
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 221)

Abstract

In the area of secure authentication, the fusion of Photopleythsmography (PPG) signals for biometric identification is a novel technique. Researchers suggested the use of PPG along with other biometric components for augmenting the biometric robustness. PPG signals have great potential to serve as biometric identification appliance and can be easily obtained with low cost. Use of PPG signals for personnel identification is very appropriate during field operations in day or night. While building a large scale identification system the feature selection from PPG is a critical activity. To have the identification system more accurate, the set of features that deemed to be the most effective attributes are extracted in order to build robust identification system. Applying Kernel Principal Component analysis (KPCA) an efficient supervised learning method for dimensionality reduction and feature extraction in this experiment results in precise classification.

Keywords

PPG signal Authentication Kernel principal component analysis (KPCA) Mahalanobis distance 

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Copyright information

© Springer India 2013

Authors and Affiliations

  • N. S. Girish Rao Salanke
    • 1
  • N. Maheswari
    • 2
  • Andrews Samraj
    • 3
  1. 1.Research Scholar, School of Computing Science and EngineeringVIT UniversityChennaiIndia
  2. 2.School of Computing Science and EngineeringVIT UniversityChennaiIndia
  3. 3.Advance Science and Technology Research CenterSalemIndia

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