Patents by Inventor Udit ROY

Udit ROY has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12223703
    Abstract: 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.
    Type: Grant
    Filed: January 27, 2021
    Date of Patent: February 11, 2025
    Assignee: MyScript
    Inventors: Udit Roy, Pierre-Michel Lallican, Robin Melinand
  • Publication number: 20240404307
    Abstract: A method for recognizing gesture strokes in user input applied onto an electronic document, comprising: receiving data based on the user input, the data representing a stroke and comprising a plurality of ink points and a plurality of timestamps associated with the plurality of ink point; segmenting the plurality of ink points into a plurality of segments each corresponding to a respective sub-stroke and comprising a respective subset of the plurality of ink points; determining a scale of the electronic document; generating a plurality of feature vectors based on the plurality of segments; normalizing a subset of the feature vectors according to the scale; and applying the plurality of feature vectors to a trained stroke classifier to generate a vector of probabilities including a probability that the stroke is a non-gesture stroke and a probability that the stroke is a given gesture stroke of a set of gesture types.
    Type: Application
    Filed: April 25, 2022
    Publication date: December 5, 2024
    Inventors: Udit ROY, Nibal NAYEF
  • Publication number: 20230084641
    Abstract: 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.
    Type: Application
    Filed: January 27, 2021
    Publication date: March 16, 2023
    Inventors: Udit ROY, Pierre-Michel LALLICAN, Robin MELINAND
  • Patent number: 10579868
    Abstract: 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.
    Type: Grant
    Filed: September 11, 2017
    Date of Patent: March 3, 2020
    Assignee: MYSCRIPT
    Inventors: Thibault Lelore, Udit Roy
  • Publication number: 20180285638
    Abstract: 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.
    Type: Application
    Filed: September 11, 2017
    Publication date: October 4, 2018
    Inventors: Thibault LELORE, Udit ROY