Patents by Inventor Pradip Mainali

Pradip Mainali 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, apparatus and method for privacy preserving contextual authentication
    Patent number: 11886558
    Abstract: Methods and systems for authenticating users based on contextual data in a privacy preserving way are disclosed.
    Type: Grant
    Filed: November 22, 2021
    Date of Patent: January 30, 2024
    Assignee: OneSpan North America Inc.
    Inventor: Pradip Mainali
  • System, Apparatus and Method for Privacy Preserving Contextual Authentication
    Publication number: 20220086135
    Abstract: Methods and systems for authenticating users based on contextual data in a privacy preserving way are disclosed.
    Type: Application
    Filed: November 22, 2021
    Publication date: March 17, 2022
    Applicant: OneSpan North America Inc.
    Inventor: Pradip Mainali
  • System, apparatus and method for privacy preserving contextual authentication
    Patent number: 11184350
    Abstract: Methods and systems for authenticating users based on contextual data in a privacy preserving way are disclosed.
    Type: Grant
    Filed: February 14, 2019
    Date of Patent: November 23, 2021
    Assignee: OneSpan North America Inc.
    Inventor: Pradip Mainali
  • System, Apparatus and Method for Privacy Preserving Contextual Authentication
    Publication number: 20190260730
    Abstract: Methods and systems for authenticating users based on contextual data in a privacy preserving way are disclosed.
    Type: Application
    Filed: February 14, 2019
    Publication date: August 22, 2019
    Applicant: OneSpan North America Inc.
    Inventor: Pradip Mainali
  • Feature detection in numeric data
    Patent number: 9042645
    Abstract: A method for detecting features in digital numeric data comprises obtaining digital numeric data comprising values corresponding to a plurality of sampling points over a domain space having at least one dimension, computing a plurality of scale-space data comprising filtering said digital numeric data using a filter bank, determining a plurality of feature regions each corresponding to a local extremum in scale and location of the scale-space data; and determining a feature region descriptor for each of said plurality of feature regions. The filter bank is a Cosine Modulated Gaussian filter bank in which the standard deviation parameter of the Gaussian equals 1 ? ? ln ? ( 2 ) 2 ? 2 b + 1 2 b - 1 multiplied by the cosine wavelength, in which b is in the range of 0.75 to 1.25, or said filter bank is an Nth-order Gaussian Derivative filter bank with N being in the range of 5 to 20.
    Type: Grant
    Filed: May 16, 2013
    Date of Patent: May 26, 2015
    Assignees: IMEC, Katholieke Universiteit Leuven, K.U. Leuven R&D
    Inventors: Pradip Mainali, Gauthier LaFruit
  • Feature Detection in Numeric Data
    Publication number: 20130308860
    Abstract: A method for detecting features in digital numeric data comprises obtaining digital numeric data comprising values corresponding to a plurality of sampling points over a domain space having at least one dimension, computing a plurality of scale-space data comprising filtering said digital numeric data using a filter bank, determining a plurality of feature regions each corresponding to a local extremum in scale and location of the scale-space data; and determining a feature region descriptor for each of said plurality of feature regions. The filter bank is a Cosine Modulated Gaussian filter bank in which the standard deviation parameter of the Gaussian equals 1 ? ? ln ? ( 2 ) 2 ? 2 b + 1 2 b - 1 multiplied by the cosine wavelength, in which b is in the range of 0.75 to 1.25, or said filter bank is an Nth-order Gaussian Derivative filter bank with N being in the range of 5 to 20.
    Type: Application
    Filed: May 16, 2013
    Publication date: November 21, 2013
    Applicants: Katholieke Universiteit Leuven, K.U. LEUVEN R&D, IMEC
    Inventors: Pradip Mainali, Gauthier LaFruit