Iterative methods for solving the Gabor expansion: considerations of convergence.
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.
Braithwaite
R N
RN
Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC.
Beddoes
M P
MP