Abstract
A general-purpose procedure for the recognition of graphic symbols in line-drawing images is presented here. The method assumes that a noise-free symbol database is available and that both the model symbols and the processed image have been broken down into elementary structures. Recognition is based on the hypothesis-and-test paradigm. The detection of an elementary structure allows us to use a signature filter, to hypothesize, and then recursively reduce a set of matching symbols. Hypothesized symbols are then verified by exploiting distance transform and distance measurement.
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