An image-based , trainable symbol recognizer for hand-drawn sketches

  • Levent Burak Karaa, Thomas F. Stahovichb
  • Published 2005

Abstract

We describe a trainable, hand-drawn symbol recognizer based on a multi-layer recognition scheme. Symbols are internally represented as binary templates. An ensemble of four different classifiers compares and ranks definition symbols according to their similarity to the unknown symbol. The scores of the individual classifiers are aggregated to produce a… (More)

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