A Knowledge-Based Approach for Script Recognition without Training

  • Authors:
  • P. v. s. Rao

  • Affiliations:
  • -

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 1995

Quantified Score

Hi-index 0.14

Visualization

Abstract

The approach is based on an empirical parametric model for the writing hand system. The parameters are so chosen and quantized as to retain only broad shape information ignoring writer-dependent and other variability. Concatenation of character prototypes generates archetypal reference words for recognition; training is unnecessary. Recognition scores exceed 90%.