REAL-TIME RECOGNITION OF HANDPRINTED TEXT

Abstract

The report describes a scheme which permits an on-line computer user to print text naturally, and have it recognized accurately. This scheme, which recognizes 53 symbols, enables a user to communicate data and directives to a computer by using only a RAND tablet with its pen as an input device. The tablet provides high resolution point-by-point pen location data which the recognition scheme analyzes as a symbol is being drawn. This analysis describes a handprinted symbol primarily as a time sequence of features. Identification is based on a data-dependent sequence of tests. Symbols are separated from one another according to their identifications and relative positions. The scheme is evaluated by determining how accurately it recognizes isolated symbols, and how much time users need to compose computer code on-line.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1966
Accession Number
AD0641252

Entities

People

  • Gabriel F. Groner

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Assembly
  • Assembly Languages
  • Central Processing Units
  • Character Recognition
  • Coding
  • Computer Programming
  • Computer Programs
  • Computers
  • Directives
  • Identification
  • Language
  • Personality
  • Printing
  • Recognition
  • Sequences
  • Shape
  • Standards

Fields of Study

  • Computer science

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Radio communications and signal processing.
  • Speech Processing/Speech Recognition.