AN ALGORITHM OF RECOGNITION SYSTEMS OF THE PERCEPTRON TYPE WITH A CORRELATOR AT THE INPUT,

Abstract

The paper deals with a recognition system, consisting of a correlator and perceptron, designed for recognition of patterns on a uniformly illuminated background. To reduce the size of the recognition system, a two-dimensional autocorrelation function is employed as the input description. This function is invariant to some isomorphous transformations. A new autocorrelation function, obtained by 'positive' and 'negative' images, is proposed, which permits the reduction of the dimensions of the apparatus. The algorithm for calculating the autocorrelation function is adapted for digital computers. An analog television variation of the autocorrelator is also described. The perception part of the system (choice of properties, mask-random prototypes, etc.) is calculated.

Document Details

Document Type
Technical Report
Publication Date
Jul 25, 1967
Accession Number
AD0662587

Entities

People

  • A. G. Ivakhnenko
  • G. A. Lemishevskii
  • H. O. Lemishevskyi
  • O. H. Ivakhnenko
  • V. I. Vasylev

Organizations

  • National Air and Space Intelligence Center

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Autocorrelation
  • Computers
  • Correlators
  • Digital Computers
  • Mathematics
  • Perception
  • Prototypes
  • Recognition
  • Two Dimensional

Readers

  • Calculus or Mathematical Analysis
  • Neural Network Machine Learning.
  • Radar Systems Engineering.