Handwritten Character Recognition from Pen Direction.

Abstract

A descriptive, generative model of the pen direction sequences measured during the hand drawing of characters is shown to be useful in recognition. Proprocessing and classification procedures are based on the properties of the model. Results are presented from tests with a realization of these methods as a real time recognition system running in a small computer. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 21, 1972
Accession Number
AD0743046

Entities

People

  • V. Michael Powers

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Character Recognition
  • Classification
  • Computers
  • Generative Models
  • Identification
  • Models
  • Pattern Recognition
  • Personality
  • Recognition
  • Sequences

Fields of Study

  • Computer science

Readers

  • Computer Science.
  • Operations Research
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML