This paper describes an approach to two-dimensional object recognition. Complex-log, conformal mappin, is combin~d witb I distributed associati"e memory to creat ~ a system which rKOenilts ob· jccu relardlrss of chan,es in rotation or scalt. Recalled information rrom tbe m~moriud database is \lS~d to classify In obj~ct. nconstruct tbe memoriud ","ion of the objKt. and estimatt tbe ma,nitude of cbances in scale or rotation. The system responst is resistant to moderate amounts or noise and occ:lusion. Several experiments, usinl rul. Ira), scale imal' " are presented to show the feasibility of our approach
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