Advanced Research in Recognition of Handwritten Address Zip Codes

Abstract

This report describes the Phase I activities in Advanced Research in Recognition of Handwritten Address ZIP Codes conducted for the United States Postal Service at the Environmental Research Institute of Michigan. These activities include an in-depth review of the optical character recognition literature, the development of a handwritten addresses digitized image data base, the development of a hardware and software testbed for investigating the recognition of handwritten address, and the design of a prototype end-to-end ZIP Code recognition system. Beyond the scope originally intended for Phase I, ERIM has implemented that end-to-end system and has determined that it achieves ninety percent digit identification on limited test data. Featured within the overall activities is the concept that development of image algorithms is an incremental process. This concept is strongly reflected in the testbed architecture that has resulted from this work. This approach is unique in that it enables continued system refinement in a way that is both understandable and meaningful. A plan for such refinement of the prototype system is proposed for Phase II of this project.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1987
Accession Number
ADA227443

Entities

People

  • Andrew M. Gillies
  • Brian T. Mitchell
  • Charles J. Jacobus
  • Steven T Smith

Organizations

  • Environmental Research Institute of Michigan

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Change Detection
  • Character Recognition
  • Computer Programming
  • Computer Programs
  • Computer Vision
  • Computers
  • Debugging
  • Feature Extraction
  • Hash Tables
  • Image Processing
  • Language
  • Literature Surveys
  • Optical Character Recognition
  • Pattern Recognition
  • Recognition
  • Software Development
  • Software Prototyping

Fields of Study

  • Computer science

Readers

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