Accession Number : AD0862441

Title :   Generalized Harmonic Analysis for Pattern Recognition: A Biologically Derived Model.

Descriptive Note : Master's thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s) : Carl, Joseph W.

Report Date : SEP 1969

Pagination or Media Count : 69

Abstract : An image classification model based on cross-correlation and discrete Walsh-Fourier techniques is presented, and shown to have biological relevance. A review of some known properties of Walsh functions and Hadamard matrices, a new result for discrete Walsh-Fourier transformations, and a discussion of sequency-filtering are included. A computer simulation of the model, using hand-written capital letters as images, and the results obtained from the simulation are described. It is concluded that discrete Walsh-Fourier transforms can be filtered to facilitate reliable automatic classification of alphabetic characters. (Author)

Descriptors :   (*PATTERN RECOGNITION, HARMONIC ANALYSIS), INFORMATION THEORY, ELECTRIC FILTERS, INTEGRAL TRANSFORMS, CHARACTER RECOGNITION, FOURIER ANALYSIS, DECISION THEORY, MATRICES(MATHEMATICS), MATHEMATICAL MODELS, ALGORITHMS.

Subject Categories : Electrical and Electronic Equipment

Distribution Statement : APPROVED FOR PUBLIC RELEASE