Patents by Inventor Malay K. Kundu

Malay K. Kundu 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).

  • Fingerprint minutiae matching using scoring techniques
    Patent number: 7359532
    Abstract: Disclosed is a method and apparatus to provide for fingerprint minutiae matching using scoring techniques. A plurality of minutiae in a fingerprint image is defined. A score associated with each minutia corresponding to the validity of each minutia is estimated. The fingerprint image is then matched against one or more sample fingerprint images utilizing a partial point set pattern matching (PSPM) algorithm.
    Type: Grant
    Filed: December 11, 2003
    Date of Patent: April 15, 2008
    Assignee: Intel Corporation
    Inventors: Tinku Acharya, Bhargab B. Bhattacharya, Arindam Biswas, Partha Bhowmick, Arijit Bishnu, Sandip Das, Malay K. Kundu, Chivukula A. Murthy, Subhas C. Nandy
  • Method and apparatus for providing a binary fingerprint image
    Patent number: 7136515
    Abstract: Embodiments of a method and/or apparatus to provide a binary image are disclosed.
    Type: Grant
    Filed: September 13, 2001
    Date of Patent: November 14, 2006
    Assignee: Intel Corporation
    Inventors: Tinku Acharya, Bhargab B. Bhattacharya, Partha Bhowmick, Arijit Bishnu, Jayanta K. Dey, Malay K. Kundu, Chivukula Anjaneya Murthy
  • Architecture for processing fingerprint images
    Patent number: 7133575
    Abstract: Embodiments of an architecture for processing gray-level images is disclosed.
    Type: Grant
    Filed: July 9, 2004
    Date of Patent: November 7, 2006
    Assignee: Intel Corporation
    Inventors: Tinku Acharya, Bhargab B. Bhattacharya, Partha Bhowmick, Arijit Bishnu, Jayanta K. Dey, Malay K. Kundu, Chivukula Anjaneya Murthy
  • Computing the Euler number of a binary image
    Patent number: 7027649
    Abstract: An Euler number representation of a binary image is calculated. The binary image is considered as a series of partial images. The Euler number for each partial image is calculated using properties of runs of zeros and ones in the pixel matrix, and the results are combined together. The operations may be performed sequentially or in parallel. The calculations may be performed using discrete logic components for on-chip VLSI implementations.
    Type: Grant
    Filed: November 27, 2000
    Date of Patent: April 11, 2006
    Assignees: Intel Corporation, Indian Statistical Institute
    Inventors: Tinku Acharya, Bhargab B. Bhattacharya, Arijit Bishnu, Malay K. Kundu, Chivukula A. Murthy
  • Archtecture for processing fingerprint images
    Publication number: 20040240714
    Abstract: Embodiments of an architecture for processing gray-level images is disclosed.
    Type: Application
    Filed: July 9, 2004
    Publication date: December 2, 2004
    Inventors: Tinku Acharya, Bhargab B. Bhattacharya, Partha Bhowmick, Arijit Bishnu, Jayanta K. Dey, Malay K. Kundu, Chivukula Anjaneya Murthy
  • Architecture for processing fingerprint images
    Patent number: 6795592
    Abstract: Embodiments of an architecture for processing gray-level images is disclosed.
    Type: Grant
    Filed: September 13, 2001
    Date of Patent: September 21, 2004
    Assignee: Intel Corporation
    Inventors: Tinku Acharya, Bhargab B. Bhattacharya, Partha Bhowmick, Arijit Bishnu, Jayanta K. Dey, Malay K. Kundu, Chivukula Anjaneya Murthy
  • Image retrieval using distance measure
    Patent number: 6681060
    Abstract: A Mahalanobis distance measure is used to identify a query image among plural images in a database. The measure may be used to rank the similarity of one or more images to the query image. A variance-covariance matrix is calculated for all images in the database. The variance-covariance matrix is used to calculate the Mahalanobis distance between the query image and one or more images in the database. A range tree may be used to identify likely image candidates for performing the Mahalanobis distance measurement.
    Type: Grant
    Filed: March 23, 2001
    Date of Patent: January 20, 2004
    Assignees: Intel Corporation, Indian Statistical Institute
    Inventors: Tinku Acharya, Bhargab B. Bhattacharya, Arijit Bishnu, Malay K. Kundu, Chivukula A. Murthy
  • Architecture for processing fingerprint images
    Publication number: 20030072034
    Abstract: Embodiments of an architecture for processing gray-level images is disclosed.
    Type: Application
    Filed: September 13, 2001
    Publication date: April 17, 2003
    Inventors: Tinku Acharya, Bhargab B. Bhattacharya, Partha Bhowmick, Arijit Bishnu, Jayanta K. Dey, Malay K. Kundu, Chivukula Anjaneya Murthy
  • Method and apparatus to reduce false minutiae in a binary fingerprint image
    Publication number: 20030063782
    Abstract: Embodiments of a technique for reducing false minutiae are disclosed.
    Type: Application
    Filed: September 13, 2001
    Publication date: April 3, 2003
    Inventors: Tinku Acharya, Bhargab B. Bhattacharya, Partha Bhowmick, Arijit Bishnu, Jayanta K. Dey, Malay K. Kundu, Chivukula Anjaneya Murthy
  • Method and apparatus for providing a binary fingerprint image
    Publication number: 20030053666
    Abstract: Embodiments of a method and/or apparatus to provide a binary image are disclosed.
    Type: Application
    Filed: September 13, 2001
    Publication date: March 20, 2003
    Inventors: Tinku Acharya, Bhargab B. Bhattacharya, Partha Bhowmick, Arijit Bishnu, Jayanta K. Dey, Malay K. Kundu, Chivukula Anjaneya Murthy
  • Image retrieval using distance measure
    Publication number: 20020164075
    Abstract: A Mahalanobis distance measure is used to identify a query image among plural images in a database. The measure may be used to rank the similarity of one or more images to the query image. A variance-covariance matrix is calculated for all images in the database. The variance-covariance matrix is used to calculate the Mahalanobis distance between the query image and one or more images in the database. A range tree may be used to identify likely image candidates for performing the Mahalanobis distance measurement.
    Type: Application
    Filed: March 23, 2001
    Publication date: November 7, 2002
    Inventors: Tinku Acharya, Bhargab B. Bhattacharya, Arijit Bishnu, Malay K. Kundu, Chivukula A. Murthy