Reading cursive handwriting by alignment of letter prototypes

  • Edelman S
  • Flash T
  • Ullman S
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Abstract

We describe a new approach to the visual recognition of cursive handwriting. An effort is made to attain human-like performance by using a method based on pictorial alignment and on a model of the process of handwriting. The alignment approach permits recognition of character instances that appear embedded in connected strings. A system embodying this approach has been implemented and tested on five different word sets. The performance was stable both across words and across writers. The system exhibited a substantial ability to interpret cursive connected strings without recourse to lexical knowledge.

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Authors

  • Shimon Edelman

  • Tamar Flash

  • Shimon Ullman

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