Myscript

Udit Roy

Pierre-Michel Lallican

Robin Melinand

Thibault Lelore

Nibal Nayef

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.

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

A system for recognition of objects from ink elements on a computing device is provided. The computing device comprises a processor, a memory and at least one non-transitory computer readable medium for recognizing content under control of the processor. The at least one non-transitory computer readable medium is configured to determine a perimeter of an ink element stored in a memory of the computing device, determine a plurality of pen units for the ink element based on the determined ink element perimeter, determine at least one stroke representing a path through two or more of the pen units, and cause recognition of one or more objects represented by the ink element using the determined at least one stroke.

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Nantes, France

Udit Roy