Patents by Inventor Karolina Dabkowska

Karolina Dabkowska 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).

  • Scalable, flexible and robust template-based data extraction pipeline
    Patent number: 11657631
    Abstract: A computer-implemented method for extracting information from a document, for example an official document, is disclosed. The method comprises acquiring an input image comprising a document portion; performing image segmentation on the input image to form a binary input image that distinguishes the document portion from the remaining portion of the input image; estimating a first image transform to align the binary input image to a binary template image, using the first image transform on the input image to form an intermediate image; estimating a second image transform to align the intermediate image to a template image; using the second image transform on the intermediate image to form an output image; and extracting a field from the output image using a predetermined field of the template image.
    Type: Grant
    Filed: April 28, 2021
    Date of Patent: May 23, 2023
    Assignee: Onfido Ltd.
    Inventors: Christos Sagonas, Karolina Dabkowska, Zhiyuan Shi, Edward Fieri Soler, Mohan Mahadevan, Iona Grace Vincent, Luca Peric, Alessandro Lenzi, Alvaro Fernando Lara, James Stonehill
  • SCALABLE, FLEXIBLE AND ROBUST TEMPLATE-BASED DATA EXTRACTION PIPELINE
    Publication number: 20210343030
    Abstract: A computer-implemented method for extracting information from a document, for example an official document, is disclosed. The method comprises acquiring an input image comprising a document portion; performing image segmentation on the input image to form a binary input image that distinguishes the document portion from the remaining portion of the input image; estimating a first image transform to align the binary input image to a binary template image, using the first image transform on the input image to form an intermediate image; estimating a second image transform to align the intermediate image to a template image; using the second image transform on the intermediate image to form an output image; and extracting a field from the output image using a predetermined field of the template image.
    Type: Application
    Filed: April 28, 2021
    Publication date: November 4, 2021
    Applicant: ONFIDO LTD
    Inventors: Christos Sagonas, Karolina Dabkowska, Zhiyuan Shi, Edward Fleri Soler, Mohan Mahadevan, Iona Grace Vincent, Luca Peric, Alessandro Lenzi, Alvaro Fernando Lara, James Stonehill
  • MACHINE LEARNING INFERENCE SYSTEM
    Publication number: 20210125104
    Abstract: The present invention relates to a machine learning inference system and processing modules thereof. In particular, the present invention relates to a machine learning inference system, a confidence module, a data minder module, a data remapping module, an adversarial defense module, and an update module. The machine learning inference system and processing modules thereof are useful for mission-critical applications to increase and maintain performance of a machine learning model.
    Type: Application
    Filed: October 20, 2020
    Publication date: April 29, 2021
    Applicant: ONFIDO LTD
    Inventors: Lewis Carl Christiansen, Zhiyuan Shi, Romain Raymond Jackie Sabathé, Philip Samuël Botros, Jochem Gietema, Pieter-Jan Louis Christianne Reynaert, Sophie Dermaux, Karolina Dabkowska, Daniele Pizzocchero, Pouria Mortazavian, Mohan Mahadevan