Video Character Recognition System.

Abstract

This report describes the development and testing of a video character recognition system (VCRS) designed to operate in a medium to high complex, non-linear noise environment. The video character recognition system used a feed forward, back propagation neural network to do the recognition. The noise generation allows high recognition rates even with limited example sets, significantly increasing the utility of the system. The intended use of the VCRS is to identify character fields within video data. Specifically, it is designed to perform data extraction for flight test and photo interpretation tasks. A sophisticated user interface has been implemented so that the VCRS can be quickly customized to a new character field or new video formats.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1996
Accession Number
ADA329038

Entities

People

  • Bradley D. Purvis
  • Craig M. Arndt
  • Harry H. Heaton
  • Jack Houchard
  • Stuart Turner

Organizations

  • Leidos

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Application Software
  • Change Detection
  • Character Recognition
  • Computer Program Documentation
  • Computer Programming
  • Computer Programs
  • Computers
  • Graphical User Interface
  • Gray Scale
  • Image Processing
  • Neural Networks
  • Operating Systems
  • Pattern Recognition
  • Test And Evaluation
  • Two Dimensional
  • Word Processors

Fields of Study

  • Computer science

Readers

  • Aerospace Test and Evaluation
  • Military Science
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks