Facial Pattern Recognition

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.

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