AbstractsMathematics

I have developed what I believe to be a very general method of feature extraction. The key to the generality of the method is that we examine each individual characteristic separately with a minimum of dependence upon other characteristics. The basic idea is to discover discriminating characteristics by a linear investigation of each sample in each class of objects being examined for differences. This is facilitated by what I term "partial similarity," that is, we look at only those samples which are partially similar to a base sample with respect to previously discovered discriminating characteristics. The method was investigated by the use of a FORTRAN program using hand printed capital A's and R's as the two classes to discriminate between.