Patents by Inventor Varun Chandrasekaran

Varun Chandrasekaran 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).

  • Method and apparatus using blended biometric data
    Patent number: 11886561
    Abstract: A biometric processing system for authentication combines multiple biometric signals using machine learning to map the different signals into a common argument space that may be processed by a similar fuzzy extractor. The different biometric signals may be given weight values related to their entropy allowing them to be blended to increase security and availability while minimizing intrusiveness.
    Type: Grant
    Filed: February 16, 2021
    Date of Patent: January 30, 2024
    Assignee: Wisconsin Alumni Research Foundation
    Inventors: Varun Chandrasekaran, Rahul Chatterjee, Xiaohan Fu, Jin-Yi Cai, Suman Banerjee
  • Method and Apparatus using Blended Biometric Data
    Publication number: 20220261463
    Abstract: A biometric processing system for authentication combines multiple biometric signals using machine learning to map the different signals into a common argument space that may be processed by a similar fuzzy extractor. The different biometric signals may be given weight values related to their entropy allowing them to be blended to increase security and availability while minimizing intrusiveness.
    Type: Application
    Filed: February 16, 2021
    Publication date: August 18, 2022
    Inventors: Varun Chandrasekaran, Rahul Chatterjee, Xiaohan Fu, Jin-Yi Cai, Suman Banerjee
  • Apparatus for Bandwidth Efficient Video Communication Using Machine Learning Identified Objects Of Interest
    Publication number: 20220021887
    Abstract: A video compression/decompression system employs a machine learning model to extract regions of interest from the input video to define relatively higher bit rate portions of the video frames that are transmitted. The resulting compressed data may be transmitted using standard protocols without specialized decoders but may optionally include a second machine learning model trained at the transmitter to boost the resolution of the reconstructed compressed data emphasizing the region of interest.
    Type: Application
    Filed: July 14, 2020
    Publication date: January 20, 2022
    Inventors: Suman Banerjee, Peng Liu, Varun Chandrasekaran