Wang Laboratories, Inc.

Kodak Limited

Alexander N Jourjine

A Julie Kadashevich

Kenneth C Knowlton

Mary F Harvey

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.

Real time handwriting recognition system

A handwritten character recognition system that includes a document scanner for generating scanned images of a previously created document containing handwritten characters, and a pen and digitizing tablet for real time entry of handwritten characters by a user. The handwritten character recognition system includes an image processor connected from the document scanner for receiving the scanned image of a previously created document and generating one or more ordered cluster arrays. The ordered cluster arrays contain spatially ordered coordinate arrays of skeletal image arcs representing and corresponding to the strokes of the handwritten characters wherein the spatial order represents an induced time ordered sequence of creation of the strokes of the handwritten characters that emulates the sequence of creation of the character strokes. A low level recognition processor is connected from the time order induction processor for receiving the ordered cluster arrays and generating a sequential character array wherein the sequential character array contains a character list for each ordered cluster array and wherein each character list contains at least one character identification representing a possible interpretation of the corresponding ordered cluster array. A linguistic post processor may be connected from the low level recognition processor for receiving the sequential character array and generating an output string representing the most probable interpretation of the handwritten characters of the document.

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Winchester, MA, United States of America

Alexander N Jourjine