Recognition method and system

Details Recognition method and system Recognition method and system

2007-07-06

2011-11-01

Koziol, Stephen (Department: 2624)

Image analysis

Pattern recognition

On-line recognition of handwritten characters

C382S181000

Reexamination Certificate

active

08050500

ABSTRACT:
Techniques for recognizing discrete multi-component symbolic input from a user can be applied to, for example, handwriting or speech. The techniques can include providing a database of model input sequences, where each model input sequence corresponds to a symbol to be recognized. Input functions, for example, discrete strokes, are obtained from a user and segmented into a sequence of discrete components. Hypothesis symbol sequences are obtained by comparing the discrete components to a database of symbols to be recognized and updating hypothesis symbol sequences based on the results of the comparison and hypothesis symbol sequence history from input previously acquired in time.

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