Enhanced Autonomous Face Recognition Machine. Volume 1

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.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1988
Accession Number
ADA202651

Entities

People

  • David D. Sanders

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Classification
  • Computer Programs
  • Computers
  • Databases
  • Detectors
  • Image Processing
  • Machine Learning
  • Neural Networks
  • Pattern Recognition
  • Recognition
  • Signal Processing
  • Target Recognition
  • Theses
  • Two Dimensional

Readers

  • Economics
  • Image Processing and Computer Vision.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks