Facial Pattern Recognition

  • Okechukwu A. Uwechue
  • Abhijit S. Pandya
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 410)

Abstract

Alongside the work on third order networks, a parallel experiment on face recognition was pursued using two-dimensional image moments and geneticallybred first-order backpropagation networks. Moments and functions of moments have been used as pattern features in many applications to achieve invariant recognition of two-dimensional image patterns [TEAG80]_[KHOT90]_[PERA92]_[REDD81]_[LO89]. Such features capture global information about the image and, unlike Fourier descriptors, do not require closed boundaries. Moment invariants were first proposed by Hu [HU62]_in 1961 using non-linear combinations of regular(geometric) moments which are invariant under scale, translation, and rotation image transformations.

Keywords

Recombination 

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Okechukwu A. Uwechue
    • 1
  • Abhijit S. Pandya
    • 2
  1. 1.AT&T LaboratoriesUSA
  2. 2.Florida Atlantic UniversityUSA

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