We introduce a new approach for shift-, scale-, and projection-invariant pattern recognition that combines the harmonic expansion and the synthetic discriminant function approaches by use of a synthetic discriminant function filter with equal-order one-dimensional logarithmic harmonic components. Because projection invariance in one direction is guaranteed by the harmonics, the required number of training images is much fewer than with classical synthetic discriminant function filters.
© 1998 Optical Society ofAmerica
(070.4550) Fourier optics and signal processing : Correlators
(070.5010) Fourier optics and signal processing : Pattern recognition
(100.4550) Image processing : Correlators
(100.5010) Image processing : Pattern recognition
(100.6740) Image processing : Synthetic discrimination functions
Jianping Yao and Guy Lebreton, "One-dimensional logarithmic harmonic synthetic discriminant function filters for shift-, scale-, and projection-invariant pattern recognition," Opt. Lett. 23, 537-539 (1998)