Fingerprint classification using an AM-FM model

  • Authors:
  • M. S. Pattichis;G. Panayi;A. C. Bovik;Shun-Pin Hsu

  • Affiliations:
  • Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM;-;-;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2001

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Abstract

Research on fingerprint classification has primarily focused on finding improved classifiers, image and feature enhancement, and less on the development of novel fingerprint representations. Using an AM-FM representation for each fingerprint, we obtain significant gains in classification performance as compared to the commonly used National Institute of Standards system, for the same classifier