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1 March 1994 General class of invariant quadratic filters for optical pattern recognition
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A general class of distortion invariant quadratic filter is developed for optical pattern recognition. It produces an equal response to a set of training images while maximizing the normalized response. Different forms of the filter are obtained by constraining the filter to operate on different linear subspaces of the input signal. These subspaces can be used to represent constraints due to system components or they can represent feature spaces which model the internal structure of certain types of signals. The proposed quadratic filter can be mapped onto a variety of different optical processor architecwres providing a general framework for developing optical processors for pattern classification.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregory O. Gheen "General class of invariant quadratic filters for optical pattern recognition", Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994);

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