Patents by Inventor Ayush Utkarsh

Ayush Utkarsh 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).

  • Multi-modal learning based intelligent enhancement of post optical character recognition error correction
    Patent number: 11842524
    Abstract: A mechanism is provided for implementing an optical character recognition (OCR) error correction mechanism for correcting OCR errors. Responsive to receiving a document in which OCR has been performed, the mechanism assesses the document to identify a set of OCR errors generated by an OCR engine that performed the OCR using a set of visual embeddings. Responsive to identifying the set of OCR errors, the mechanism analyzes each character of a plurality of sentences within the document to generate a high-dimensional embedding for the characters of the plurality of sentences within the document. The mechanism then linguistically corrects each OCR error in the set of OCR error. The mechanism utilizes ground truth information and the set of visual embeddings to verify that character stream is linguistically correct. Responsive to verifying that the character stream is linguistically correct, the mechanism outputs an OCR error corrected document to a user.
    Type: Grant
    Filed: April 30, 2021
    Date of Patent: December 12, 2023
    Assignee: International Business Machines Corporation
    Inventors: Rajesh M. Desai, Ayush Utkarsh, Nazrul Islam, Praveen Vyas
  • Multi-Modal Learning Based Intelligent Enhancement of Post Optical Character Recognition Error Correction
    Publication number: 20220350998
    Abstract: A mechanism is provided for implementing an optical character recognition (OCR) error correction mechanism for correcting OCR errors. Responsive to receiving a document in which OCR has been performed, the mechanism assesses the document to identify a set of OCR errors generated by an OCR engine that performed the OCR using a set of visual embeddings. Responsive to identifying the set of OCR errors, the mechanism analyzes each character of a plurality of sentences within the document to generate a high-dimensional embedding for the characters of the plurality of sentences within the document. The mechanism then linguistically corrects each OCR error in the set of OCR error. The mechanism utilizes ground truth information and the set of visual embeddings to verify that character stream is linguistically correct. Responsive to verifying that the character stream is linguistically correct, the mechanism outputs an OCR error corrected document to a user.
    Type: Application
    Filed: April 30, 2021
    Publication date: November 3, 2022
    Inventors: Rajesh M. Desai, Ayush Utkarsh, Nazrul Islam, Praveen Vyas