Maximum-likelihood deformation analysis of different-sized fingerprints

  • Authors:
  • Yuliang He;Jie Tian;Qun Ren;Xin Yang

  • Affiliations:
  • Biometrics Research Group, Institute of Automation, Chinese Academy of Science, Beijing, China;Biometrics Research Group, Institute of Automation, Chinese Academy of Science, Beijing, China;Biometrics Research Group, Institute of Automation, Chinese Academy of Science, Beijing, China;Biometrics Research Group, Institute of Automation, Chinese Academy of Science, Beijing, China

  • Venue:
  • AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper introduces a probabilistic formulation in terms of Maximum-likelihood estimation to calculate the optimal deformation parameters, such as scale, rotation and translation, between a pair of fingerprints acquired by different image capturers from the same finger. This uncertainty estimation technique allows parameter selection to be performed by choosing parameters that minimize the deformations uncertainty and maximize the global similarity between the pair of fingerprints. In addition, we use a multi-resolution search strategy to calculate the optimal deformation parameters in the space of possible deformation parameters. We apply the method to fingerprint matching in a pension fund management system in China, a fingerprint-based personal identification application system. The performance of the method shows that it is effective in estimating the optimal deformation parameters between a pair of fingerprints.