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):

Report Date:

1969-09-01

Pagination or Media Count:

69.0

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

Subject Categories:

  • Electrical and Electronic Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE