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Image and Video-Based Biometrics

  • Vishal M. Patel
  • Jaishanker K. Pillai
  • Rama Chellappa

Abstract

Biometrics deals with the problem of identifying individuals based on physiological or behavioral characteristics. Since many physical characteristics, such as face, iris, etc., and behavioral characteristics, such as voice, expression, etc., are unique to an individual, biometric analysis offers a reliable and natural solution to the problem of identity verification. In this chapter, we discuss image and video-based biometrics involving face, iris and gait. In particular, we discuss several recent approaches to physiological biometrics based on Sparse Representations and Compressed Sensing. Some of the most compelling challenges and issues that confront research in biometrics are also addressed.

Keywords

Face Recognition Video Sequence Sparse Representation Compressed Sensing Near Neighbor 
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.

Notes

Acknowledgements

This work was partially supported by a MURI Grant N00014-08-1-0638 from the Office of Naval Research.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Vishal M. Patel
    • 1
  • Jaishanker K. Pillai
    • 1
  • Rama Chellappa
    • 1
  1. 1.Department of Electrical and Computer Engineering, Center for Automation ResearchUniversity of MarylandCollege ParkUSA

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