Multifont optical character recognition using a box connectivity

Image analysis – Pattern recognition – Feature extraction

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382204, G06K 946

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active

055398405

ABSTRACT:
Pattern recognition, for instance optical character recognition, is achieved by defining a minimal bounding rectangle around a pattern, dividing the pattern into a grid of boxes, comparing a vector derived from this partitioned pattern to vectors similarly derived from known patterns, choosing a set of Pareto non-inferior candidate patterns, and selecting a recognized pattern from the set of candidates. The vectors include pixel density matrices, matrices of horizontal connectivity of boxes, and matrices of vertical connectivity of boxes.

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