EFFECTS OF NOISE IN CHARACTER RECOGNITION SYSTEMS.

Abstract

In this report, a technique for evaluating character-recognition systems is developed. First, a general mathematical model for pattern-recognition systems is specified. Then it is shown that various aspects of system and subsystem performance can be evaluated by considering the systems and subsystems as simple communication channels. The evaluation results in a statistic, termed the 'intelligence coefficient,' which is a measure of the fractional amount of source-generated intelligence available at the output of a communication channel. It is shown that the intelligence coefficient can be used to do the following: to predict the limitations imposed on system performance by input-signal conditions (e.g., the limitations on character recognition of carbon copies); to measure the effectiveness of signal transformations; and to measure the effects of decision logics. As one means of acquiring the signal data necessary for calculating the intelligence coefficient, empirical noise curves and analytic models for the distribution of ink noise about a character are presented. It is recommended that the intelligence coefficient be programmed for computation on a general-purpose digital computer and be used as an analytic tool for the evaluation of proposed recognition systems and for the design of improved recognition systems. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1967
Accession Number
AD0810833

Entities

People

  • J. Glenn
  • M. R. Uffelman
  • O. Turner
  • W. Holford

Tags

DTIC Thesaurus Topics

  • Character Recognition
  • Coefficients
  • Communication Channels
  • Computations
  • Computers
  • Digital Computers
  • Mathematical Models
  • Models
  • Pattern Recognition
  • Personality
  • Recognition
  • Test And Evaluation

Fields of Study

  • Computer science
  • Engineering

Readers

  • Approximation Theory.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy