Combiner for improving handwriting recognition
AssigneeMicrosoft Corporation
InventorsQi Zhang, Ahmad A. Abdulkader, Michael T. Black
Life of this patent
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AssigneeMicrosoft Corporation
InventorsQi Zhang, Ahmad A. Abdulkader, Michael T. Black
Estimating the term…
Various technologies and techniques are disclosed that improve handwriting recognition operations. Handwritten input is received in training mode and run through several base recognizers to generate several alternate lists. The alternate lists are unioned together into a combined alternate list. If the correct result is in the combined list, each correct/incorrect alternate pair is used to generate training patterns. The weights associated with the alternate pairs are stored. At runtime, the combined alternate list is generated just as training time. The trained comparator-net can be used to compare any two alternates in the combined list. A template matching base recognizer is used with one or more neural network base recognizers to improve recognition operations. The system provides comparator-net and reorder-net processes trained on print and cursive data, and ones that have been trained on cursive-only data. The respective comparator-net and reorder-net processes are used accordingly.
A method for improving handwriting recognition comprising:
A computer-readable recording medium having computer-executable instructions for causing a computer to perform steps comprising:
Dependencies are inferred from the claim text.