title: Iterative methods for solving the Gabor expansion: considerations of convergence.
abstract: J.G. Daugman's (1988) neural network solution to the Gabor expansion of an image is reformulated as a steepest descent implementation. Nonlinear optimization theory is then applied to select an appropriate convergence factor. Two quasi-Newton-based nonlinear optimization techniques are applied to improve the convergence for certain types of lattice.
authors.affiliation: Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC.
authors.forename: R N
authors.initials: RN
authors.lastname: Braithwaite
authors.forename: M P
authors.initials: MP
authors.lastname: Beddoes