Experiment and analysis services in a fingerprint digital library for collaborative research

  • Authors:

  • Sung Hee Park;Jonathan P. Leidig;Lin Tzy Li;Edward A. Fox;Nathan J. Short;Kevin E. Hoyle;A. Lynn Abbott;Michael S. Hsiao

  • Affiliations:

  • Digital Library Research Laboratory, Department of Computer Science, Virginia Tech, Blacksburg, VA;Digital Library Research Laboratory, Department of Computer Science, Virginia Tech, Blacksburg, VA;Digital Library Research Laboratory, Department of Computer Science, Virginia Tech, Blacksburg, VA and Institute of Computing, University of Campinas and CPqD Foundation, Campinas, SP, Brazil;Digital Library Research Laboratory, Department of Computer Science, Virginia Tech, Blacksburg, VA;Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA;Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA;Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA;Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA

  • Venue:
  • TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Fingerprint management systems support millions of images and complicated but imperfect image identification algorithms. The forensic community requires a set of digital library services to support large image collections, execute identification algorithms, and analyze experiments that test identification algorithms in development. We present a model and prototype system capable of testing and analyzing fingerprinting algorithms in terms of identification performance based on matches of a known image to partial images, distortions of the images, and sub-regions of the images. These services are provided based on our framework for composing a set of services and a fingerprint image collection. The prototype will be useful in collaborations connecting several algorithm development efforts, and in composing an experimentation workflow. We also describe extensions of these services into other domains.