NathanKalka

Nathan D. Kalka

Areas of Expertise: 
Biometrics, Computer Vision, Image Processing, Biometric Testing and Evaluation

Background: 
Nathan is a project manager and expert in research, development, testing and evaluation in the domains of biometrics, forensics, cyber identities, and visual analytics. He has worked on a number of projects including the design and implementation of algorithms for latent quality, latent fingerprint distortion metrics, iris image quality, iris segmentation quality, and biometrics related to ascertaining identity in night-time environments. 

Noblis Projects:

  • Latent fingerprint quality
  • Latent fingerprint distortion metrics
  • Testing and Evaluation of latent fingerprint recognition algorithms
  • Testing and Evaluation of unconstrained face recognition algorithms
  • Cyber identity creation and discovery

Education: 

Doctorate Degree, Computer Science, West Virginia University

Master's Degree, Computer Science, West Virginia University

Bachelor's Degree, Computer Science, West Virginia University

 

Awards and Recognition:
Starting in 2012, Nathan has received numerous Noblis Technology Leadership Awards. 

Recent Publications:

  • J. C. Adams, K. C. Allen, T. Miller, N. D. Kalka and A. K. Jain, "Grouper: Optimizing Crowdsourced Face Annotations", CVPR, Workshop on Biometrics, June 26, 2016.

  • A. Blanton, K. C. Allen, T. Miller, N. D. Kalka and A. K. Jain, "A Comparison of Human and Automated Face Verification Accuracy on Unconstrained Image Sets", CVPR, Workshop on Biometrics, June 26, 2016.
  • N. Kalka, N. Bartlow, B. Cukic, A. Ross, "A Preliminary Study on Identifying Sensors from Iris Images," Proc. of IEEE Computer Society Workshop on Biometrics at the Computer Vision and Pattern Recognition (CVPR) Conference, (Boston, USA), June 2015.
  • N. D. Kalka and R.A. Hicklin, “On Relative Distortion in Fingerprint Comparison”. Forensic Science International, Volume 244, 78-84, November 2014.

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