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Abstract

A handwritten character recognizer having an input cluster buffer and a point buffer with dynamic and static stroke feature extraction and segment analysis by conical boundaries for identification of stroke segments dynamic stroke feature extractor static stroke feature extractor. A stroke recognizer compares single copies of idealized stroke representations with hierarchically approximated multiple scaled topological representations of a current stroke, followed by stroke proportion discrimination comparing a selected topological representation of the current stroke with boundaries defined by linear combinations of features of direct and reversed ideal stroke prototypes to provide a stroke identification. A cluster recognizer maintains a time ordered current stroke buffer and previous stroke buffer and constructs a per stroke area of influence list. The time ordered buffers are scanned to generate a spatially ordered window buffer. A position discriminator assigns character meanings to clusters of stokes in the window buffer. The buffer scanner is responsive to a current stroke having spatial coordinates located between previous strokes for reordering the stroke buffers and determining a new cluster meanings. An editor is responsive to an editing gesture or combination of two strokes for directing the stroke buffer controller to modify the strokes in the stroke buffer accordingly.

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First Claim