Accession Number:

ADA202651

Title:

Enhanced Autonomous Face Recognition Machine. Volume 1

Descriptive Note:

Master's thesis

Corporate Author:

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

Personal Author(s):

Report Date:

1988-12-01

Pagination or Media Count:

49.0

Abstract:

This thesis continues work on the Autonomous Face Recognition Machine developed at AFIT in 1985. There were two major changes made to the system. The set of features extracted from the face for use in the recognition process, was changed. A higher dimensioned vector taken from the two-dimensional Discrete Fourier Transform of the face, was used in hope of increasing the separation of templates stored in the data base. Further research is needed to determine whether this change is beneficial to the system. The second change was to the decision rule used in recognition. The decision making portion of the system was replaced by a back propagation neural network. While providing equivalent recognition capability, this change provides a constant recognition time independent of the number of subjects trained into the system. Keywords Pattern recognition, Image processing, Neural networks, Gesalt transforms.

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE