Patents by Inventor Zsolt Wimmer

Zsolt Wimmer 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).

  • Publication number: 20240078377
    Abstract: A system and method for completing a character of a text of a digital document on a computing device, the computing device comprising a processor, a memory, and at least one non-transitory computer readable medium for recognizing input under control of the processor, the at least one non-transitory computer readable medium is configured to cause display (S900) of at least one typeset character of the text on a display interface of the computing device; detect a handwritten input stroke (S902) performed on the digital document in the vicinity of a typeset character; identify an first typeset character (S904) if the typeset character belongs to a list of base characters according to a language model; retrieve a predefined character version (S906) of the first typeset character from the memory; generate a hybrid character (S908) by replacing the initial typeset character by the predefined character; generate a list of character candidates (S910) with associated probabilities of recognition of the hybrid characte
    Type: Application
    Filed: January 13, 2022
    Publication date: March 7, 2024
    Inventors: Stéphane GUYETANT, Zsolt WIMMER, Alain CHATEIGNER
  • Patent number: 10007859
    Abstract: A system and method that is able to recognize a user's natural superimposed handwriting without any explicit separation between characters. The system and method is able to process single-stroke and multi-stroke characters. It can also process cursive handwriting. Further, the method and system can determine the boundaries of input words either by the use of a specific user input gesture or by detecting the word boundaries based on language characteristics and properties. The system and method analyzes the handwriting input through the processes of fragmentation, segmentation, character recognition, and language modeling. At least some of these processes occur concurrently through the use of dynamic programming.
    Type: Grant
    Filed: March 28, 2016
    Date of Patent: June 26, 2018
    Assignee: MyScript
    Inventors: Zsolt Wimmer, Freddy Perraud, Pierre-Michel Lallican, Guillermo Aradilla
  • Patent number: 9911052
    Abstract: A system and method is able to recognize a user's natural superimposed handwriting without any explicit separation between characters. The system and method is able to process single-stroke and multi-stroke characters. The system and method can also process cursive handwriting. Further, the system and method can determine the boundaries of input words either by the use of a specific user input gesture or by detecting the word boundaries based on language characteristics and properties. The system and method analyzes the handwriting input through the processes of segmentation, character recognition, and language modeling. These three processes occur concurrently through the use of dynamic programming.
    Type: Grant
    Filed: November 16, 2016
    Date of Patent: March 6, 2018
    Assignee: MYSCRIPT
    Inventors: Zsolt Wimmer, Freddy Perraud, Pierre-Michel Lallican
  • Publication number: 20170061223
    Abstract: A system and method is able to recognize a user's natural superimposed handwriting without any explicit separation between characters. The system and method is able to process single-stroke and multi-stroke characters. The system and method can also process cursive handwriting. Further, the system and method can determine the boundaries of input words either by the use of a specific user input gesture or by detecting the word boundaries based on language characteristics and properties. The system and method analyzes the handwriting input through the processes of segmentation, character recognition, and language modeling. These three processes occur concurrently through the use of dynamic programming.
    Type: Application
    Filed: November 16, 2016
    Publication date: March 2, 2017
    Inventors: Zsolt WIMMER, Freddy PERRAUD, Pierre-Michel LALLICAN
  • Patent number: 9524440
    Abstract: A system and method that is able to recognize a user's natural superimposed handwriting without any explicit separation between characters. The system and method is able to process single-stroke and multi-stroke characters. It can also process cursive handwriting. Further, the method and system can determine the boundaries of input words either by the use of a specific user input gesture or by detecting the word boundaries based on language characteristics and properties. The system and method analyzes the handwriting input through the processes of segmentation, character recognition, and language modeling. These three processes occur concurrently through the use of dynamic programming.
    Type: Grant
    Filed: April 4, 2014
    Date of Patent: December 20, 2016
    Assignee: MYSCRIPT
    Inventors: Zsolt Wimmer, Freddy Perraud, Pierre-Michel Lallican
  • Publication number: 20160275364
    Abstract: A system and method that is able to recognize a user's natural superimposed handwriting without any explicit separation between characters. The system and method is able to process single-stroke and multi-stroke characters. It can also process cursive handwriting. Further, the method and system can determine the boundaries of input words either by the use of a specific user input gesture or by detecting the word boundaries based on language characteristics and properties. The system and method analyzes the handwriting input through the processes of fragmentation, segmentation, character recognition, and language modeling. At least some of these processes occur concurrently through the use of dynamic programming.
    Type: Application
    Filed: March 28, 2016
    Publication date: September 22, 2016
    Inventors: Zsolt WIMMER, Freddy Perraud, Pierre-Michel Lallican, Guillermo Aradilla
  • Patent number: 9384403
    Abstract: A system and method that is able to recognize a user's natural superimposed handwriting without any explicit separation between characters. The system and method is able to process single-stroke and multi-stroke characters. It can also process cursive handwriting. Further, the method and system can determine the boundaries of input words either by the use of a specific user input gesture or by detecting the word boundaries based on language characteristics and properties. The system and method analyzes the handwriting input through the processes of fragmentation, segmentation, character recognition, and language modeling. At least some of these processes occur concurrently through the use of dynamic programming.
    Type: Grant
    Filed: July 10, 2015
    Date of Patent: July 5, 2016
    Assignee: MYSCRIPT
    Inventors: Zsolt Wimmer, Freddy Perraud, Pierre-Michel Lallican, Guillermo Aradilla
  • Publication number: 20150356360
    Abstract: A system and method that is able to recognize a user's natural superimposed handwriting without any explicit separation between characters. The system and method is able to process single-stroke and multi-stroke characters. It can also process cursive handwriting. Further, the method and system can determine the boundaries of input words either by the use of a specific user input gesture or by detecting the word boundaries based on language characteristics and properties. The system and method analyzes the handwriting input through the processes of fragmentation, segmentation, character recognition, and language modeling. At least some of these processes occur concurrently through the use of dynamic programming.
    Type: Application
    Filed: July 10, 2015
    Publication date: December 10, 2015
    Inventors: Zsolt WIMMER, Freddy PERRAUD, Pierre-Michel LALLICAN, Guillermo ARADILLA
  • Publication number: 20150286886
    Abstract: A system and method that is able to recognize a user's natural superimposed handwriting without any explicit separation between characters. The system and method is able to process single-stroke and multi-stroke characters. It can also process cursive handwriting. Further, the method and system can determine the boundaries of input words either by the use of a specific user input gesture or by detecting the word boundaries based on language characteristics and properties. The system and method analyzes the handwriting input through the processes of segmentation, character recognition, and language modeling. These three processes occur concurrently through the use of dynamic programming.
    Type: Application
    Filed: April 4, 2014
    Publication date: October 8, 2015
    Inventors: Zsolt Wimmer, Freddy Perraud, Pierre-Michel Lallican