Patents by Inventor Siddharth K. MADAN

Siddharth K. MADAN 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).

  • High speed reference point independent database filtering for fingerprint identification
    Patent number: 11062120
    Abstract: Methods and systems for high-speed filtering of candidate fingerprint images in a gallery using a non-reference-point based matching involving histograms of tokens representing minutia data. The method or system may involve detecting minutia patterns in a probe image, defining tokens that represent the minutia patterns detected in the probe image, measuring a degree of similarity between the probe image and each gallery image by comparing a probability of occurrence of a set of the tokens defined for the probe image with a probability of occurrence of the same set of tokens in that gallery image, and identifying as a candidate for a match to the probe image each gallery image for which the measured degree of similarity satisfies a criterion.
    Type: Grant
    Filed: April 28, 2020
    Date of Patent: July 13, 2021
    Assignee: AWARE, INC.
    Inventors: Taras P. Riopka, Siddharth K. Madan
  • HIGH SPEED REFERENCE POINT INDEPENDENT DATABASE FILTERING FOR FINGERPRINT IDENTIFICATION
    Publication number: 20200257885
    Abstract: Methods and systems for high-speed filtering of candidate fingerprint images in a gallery using a non-reference-point based matching involving histograms of tokens representing minutia data. The method or system may involve detecting minutia patterns in a probe image, defining tokens that represent the minutia patterns detected in the probe image, measuring a degree of similarity between the probe image and each gallery image by comparing a probability of occurrence of a set of the tokens defined for the probe image with a probability of occurrence of the same set of tokens in that gallery image, and identifying as a candidate for a match to the probe image each gallery image for which the measured degree of similarity satisfies a criterion.
    Type: Application
    Filed: April 28, 2020
    Publication date: August 13, 2020
    Inventors: Taras P. RIOPKA, Siddharth K. MADAN
  • High speed reference point independent database filtering for fingerprint identification
    Patent number: 10671831
    Abstract: Methods and systems for high-speed filtering of candidate fingerprint images in a gallery using a non-reference-point based matching involving histograms of tokens representing minutia data. The method or system may involve detecting minutia patterns in a probe image, defining tokens that represent the minutia patterns detected in the probe image, measuring a degree of similarity between the probe image and each gallery image by comparing a probability of occurrence of a set of the tokens defined for the probe image with a probability of occurrence of the same set of tokens in that gallery image, and identifying as a candidate for a match to the probe image each gallery image for which the measured degree of similarity satisfies a criterion.
    Type: Grant
    Filed: November 1, 2016
    Date of Patent: June 2, 2020
    Assignee: AWARE, INC.
    Inventors: Taras P. Riopka, Siddharth K. Madan
  • HIGH SPEED REFERENCE POINT INDEPENDENT DATABASE FILTERING FOR FINGERPRINT IDENTIFICATION
    Publication number: 20180247105
    Abstract: Methods and systems for high-speed filtering of candidate fingerprint images in a gallery using a non-reference-point based matching involving histograms of tokens representing minutia data. The method or system may involve detecting minutia patterns in a probe image, defining tokens that represent the minutia patterns detected in the probe image, measuring a degree of similarity between the probe image and each gallery image by comparing a probability of occurrence of a set of the tokens defined for the probe image with a probability of occurrence of the same set of tokens in that gallery image, and identifying as a candidate for a match to the probe image each gallery image for which the measured degree of similarity satisfies a criterion.
    Type: Application
    Filed: November 1, 2016
    Publication date: August 30, 2018
    Inventors: Taras P. RIOPKA, Siddharth K. MADAN