A most attractive approach to distortion-invariant pattern recognition uses a synthetic discriminant function (SDF) as the matched spatial filter in a correlator. In this paper, we (1) provide a general basis function and hyperspace description of SDFs, (2) advance a derivation showing the generality of the correlation matrix observation space that we use in our filter synthesis, and (3) detail a unified SDF filter synthesis technique for five different types of pattern recognition problem.
© 1984 Optical Society of America
Original Manuscript: November 21, 1983
Published: May 15, 1984
David Casasent, "Unified synthetic discriminant function computational formulation," Appl. Opt. 23, 1620-1627 (1984)