We describe a joint transform correlator (JTC) that uses multiple inpu
t images encoded in the spatial domain for multiwavelet feature extrac
tion. We extend the theory of a JTC to multiple inputs, which enables
various combinations of cross-correlations between input images to be
performed. Furthermore, we provide experimental results for four input
s with an optically addressed spatial light modulator in the Fourier p
lane. In addition, it is possible that the space-bandwidth product for
multiwavelet feature extraction can be made the same as for a two-inp
ut JTC. (C) 1998 Society of Photo-Optical instrumentation Engineers.