Enhanced Facsimile Services.

Abstract

Facsimile apparatus wi1l begin to have access to local area networks, and store and forward facsimile network services. Plus, they will begin to have access to Digital Circuit Multiplying Equipment, Packetized Circuit Multiplying Equipment and Packet Assemblers/Disassemblers. This task investigates using Optical Character Recognition to help interconnect facsimile to these services. This report discusses using OCR to convey instructions from a facsimile terminal to a store-and-forward; discusses how facsimiles, including graphics, might be converted to text documents; discusses how facsimile modems and enhanced services affect long distance communication equipment, and how the long distance equipment might determine the modem modulation method used. It also provides recommendations for using OCR and character or binary encodings for message transfers between facsimile terminals and store-and-forward systems. It also recommends how long distance equipments might better identify facsimile and data modern traffic. Most store-and-forward terminals communicate indirectly in multipoint configurations. Messages between terminals can sometimes be stored in the network. These messages usually stay in the network until the recipient retrieves these.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA319893

Entities

People

  • Stephen Perschau

Organizations

  • Delta Information Systems (United States)

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Character Recognition
  • Coding
  • Communication Equipment
  • Communication Systems
  • Computers
  • Digital Circuits
  • Facsimile Equipment
  • Graphics
  • Identification
  • Image Processing
  • Information Systems
  • Instructions
  • Modulation
  • Networks
  • Optical Character Recognition
  • Recognition
  • Word Processors

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.