Enhancement and Registration Schemes for Matching Conjunctival Vasculature

  • Simona Crihalmeanu
  • Arun Ross
  • Reza Derakhshani
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5558)


Ocular biometrics has made significant strides over the past decade primarily due to the rapid advances in iris recognition. Recent literature has investigated the possibility of using conjunctival vasculature as an added ocular biometric. These patterns, observed on the sclera of the human eye, are especially significant when the iris is off-angle with respect to the acquisition device resulting in the exposure of the scleral surface. In this work, we design enhancement and registration methods to process and match conjunctival vasculature obtained under non-ideal conditions. The goal is to determine if conjunctival vasculature is a viable biometric in an operational environment. Initial results are promising and suggest the need for designing advanced image processing and registration schemes for furthering the utility of this novel biometric. However, we postulate that in an operational environment, conjunctival vasculature has to be used with the iris in a bimodal configuration.


Image Enhancement False Reject Rate Iris Recognition Registration Scheme Robotic Assist Laparoscopic 
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

  • Simona Crihalmeanu
    • 1
  • Arun Ross
    • 1
  • Reza Derakhshani
    • 2
  1. 1.West Virginia UniversityMorgantownUSA
  2. 2.University of MissouriKansas CityUSA

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