Character Recognition Using Correlation Techniques.

Abstract

This thesis presents an algorithm for recognition of letters of the English alphabet. The letters may be single, isolated letters; or concatenated, groups of letters. The algorithm essentially consists of a two pass correlation in which the size and energy of the unknown characters are set equal to a known template. Originator supplied keywords: Character Recognition, Correlation Techniques.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1984
Accession Number
ADA152006

Entities

People

  • L. Shum

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Character Recognition
  • Computer Programming
  • Computer Programs
  • Computers
  • Correlation Techniques
  • Data Processing
  • Digital Computers
  • Identification
  • Image Processing
  • Information Processing
  • Noise Reduction
  • Operating Systems
  • Processing Equipment
  • Recognition
  • Robots
  • Signal Processing
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Computer Programming and Software Development.
  • Regression Analysis.
  • Speech Processing/Speech Recognition.