Classifying handwritten math and text symbols using spatial syntactic rules, semantec connections, and ink-related information of strokes forming the symbols

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United States of America

PATENT NO 12223703
APP PUB NO 20230084641A1
SERIAL NO

17795503

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Abstract

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The invention relates to a method implemented by a computing device for processing math and text in handwriting, comprising: identifying symbols by performing handwriting recognition on a plurality of strokes; classifying, as a first classification, first symbols as either a text symbol candidate or a math symbol candidate with a confidence score reaching a first threshold; classifying, as a second classification, second symbols other than first symbols as either a text symbol candidate or a math symbol candidate with a respective confidence score by applying predefined spatial syntactic rules; updating or confirming, as a third classification, a result of the second classification by establishing semantic connections between symbols and comparing the semantic connections with the result of the second classification; and recognising each symbol as either text or math based on a result of said third classification.

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Patent Owner(s)

  • MYSCRIPT

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Lallican, Pierre-Michel Nantes, FR 9 47
Melinand, Robin Nantes, FR 5 38
Roy, Udit Nantes, FR 3 4

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