Multichannel filtering and its inherent capacity for the implementatio
n of data-fusion algorithms for high-level image processing, as well a
s composite filtering and its capacity for distortion-invariant patter
n-recognition tasks, are discussed and compared. Both approaches are a
ssessed by use of binary phase-only filters to simplify implementation
issues. We discuss similarities and differences of these two solution
s and demonstrate that they can be merged efficiently, giving rise to
a new category of filters that we call composite-multichannel filters.
We illustrate this comparison and the new filter design for the case
of rotation-invariant fingerprint recognition. In particular, we show
that the gain in terms of encoding capacity in the case of the composi
te-multichannel approach can be used efficiently to introduce multicha
nnel-filter reconfigurability. (C) 1997 Optical Society of America.