• Anil K. Jain
  • Arun A. Ross
  • Karthik Nandakumar


Person recognition systems based on individual biometric traits like fingerprint, face, and iris have been the focus of this book thus far. Most of these biometric systems can be labeled as unibiometric systems because they rely on a single biometric source for recognition. Any piece of evidence that can be independently used to recognize a person is called a source of biometric information. Unibiometric systems have some limitations.What if the biometric source becomes unreliable due to sensor or software malfunction, poor quality of specific biometric trait of the user, or deliberate manipulation? Furthermore, high-security applications and large-scale civilian identification systems place stringent accuracy requirements that cannot be met by existing unibiometric systems.


Fusion Scheme Equal Error Rate Biometric System False Reject Rate Biometric Trait 
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 Science+Business Media, LLC 2011

Authors and Affiliations

  • Anil K. Jain
    • 1
  • Arun A. Ross
    • 2
  • Karthik Nandakumar
    • 3
  1. 1.Department of Computer Science and EngineeringMichigan State UniversityEast LansingUSA
  2. 2.Lane Department of Computer Science and Electrical EngineeringWest Virginia UniversityMorgantownUSA
  3. 3.Institute for Infocomm Research A*STARFusionopolisSingapore

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