Patents by Inventor Vatsala Singh

Vatsala Singh 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).

  • System and method of character recognition using fully convolutional neural networks
    Patent number: 10936862
    Abstract: Embodiments of the present disclosure include a method for extracting symbols from a digitized object. The method includes processing the word block against a dictionary. The method includes comparing the word block against a word in the dictionary, the comparison providing a confidence factor. The method includes outputting a prediction equal to the word when the confidence factor is greater than a predetermined threshold. The method includes evaluating properties of the word block when the confidence factor is less than the predetermined threshold. The method includes predicting a value of the word block based on the properties of the word block. The method further includes determining an error rate for the predicted value of the word block. The method includes outputting a value for the word block, the output equal to a calculated value corresponding to a value of the word block having the lowest error rate.
    Type: Grant
    Filed: September 19, 2017
    Date of Patent: March 2, 2021
    Assignee: Kodak Alaris Inc.
    Inventors: Felipe Petroski Such, Raymond Ptucha, Frank Brockler, Paul Hutkowski, Vatsala Singh
  • SYSTEM AND METHOD OF CHARACTER RECOGNITION USING FULLY CONVOLUTIONAL NEURAL NETWORKS
    Publication number: 20180137349
    Abstract: Embodiments of the present disclosure include a method for extracting symbols from a digitized object. The method includes processing the word block against a dictionary. The method includes comparing the word block against a word in the dictionary, the comparison providing a confidence factor. The method includes outputting a prediction equal to the word when the confidence factor is greater than a predetermined threshold. The method includes evaluating properties of the word block when the confidence factor is less than the predetermined threshold. The method includes predicting a value of the word block based on the properties of the word block. The method further includes determining an error rate for the predicted value of the word block. The method includes outputting a value for the word block, the output equal to a calculated value corresponding to a value of the word block having the lowest error rate.
    Type: Application
    Filed: September 19, 2017
    Publication date: May 17, 2018
    Applicant: Kodak Alaris Inc.
    Inventors: Felipe Petroski SUCH, Raymond Ptucha, Frank Brockler, Paul Hutkowski, Vatsala Singh