Patents Assigned to Multimedia Glory SDN. BHD.
  • Patent number: 7596245
    Abstract: The invention discloses a process of recoding biometric features in recordable medium comprising several steps. Raw biometrics feature such as finger prints, palm prints, iris image, retina image and other biometrics feature or a combination thereof are extracted. The raw biometrics feature is segmented into at least two segment units. Anchor features and at least two other significant features in each segment are identified. The anchor feature consists of centre point in finger prints or palm prints, optic disc in retina image or lens section in iris image. The significant features consist of ridge join points, ridge line endings for finger prints or palm prints and macula and vessel density in retina, and lens and iris portion in iris image. The relativity in position of each significant feature in relation to the anchor feature is computed. The relativity includes one or more of the following; distance, direction or segments units.
    Type: Grant
    Filed: August 2, 2004
    Date of Patent: September 29, 2009
    Assignee: Multimedia Glory SDN. BHD.
    Inventor: Karthik Kaleedhass
  • Patent number: 7391890
    Abstract: A method of identifying an individual using biometric data is disclosed comprises of a sequence of steps. First the biometric data of the individual is enrolled, said biometric data selected from one or more of the following: finger print, palm print, iris or any other biometric data. The anchor features and other identifiable significant features are identified. The anchor features consist of: center point in fingerprints or palm prints, optic discs in retina image or lens section in iris image. The other identifiable significant features include: ridge join points, ridge line endings for finger prints or palm prints or macula and vessel density in retina, and lens and iris portion in iris image. The relativity of each significant feature in relation to the other feature is computed. The relativity includes distance or direction or both. The relativity is combined to obtain a classification code. The classification code and the biometric data obtained are encrypted. Then the encrypted data is stored.
    Type: Grant
    Filed: August 2, 2004
    Date of Patent: June 24, 2008
    Assignee: Multimedia Glory SDN. BHD.
    Inventor: Karthik Kaleedhass
  • Publication number: 20050058324
    Abstract: A method of identifying an individual using biometric data is disclosed comprises of a sequence of steps. First the biometric data of the individual is enrolled, said biometric data selected from one or more of the following: finger print, palm print, iris or any other biometric data. The anchor features and other identifiable significant features are identified. The anchor features consist of: center point in fingerprints or palm prints, optic discs in retina image or lens section in iris image. The other identifiable significant features include: ridge join points, ridge line endings for finger prints or palm prints or macula and vessel density in retina, and lens and iris portion in iris image. The relativity of each significant feature in relation to the other feature is computed. The relativity includes distance or direction or both. The relativity is combined to obtain a classification code. The classification code and the biometric data obtained are encrypted. Then the encrypted data is stored.
    Type: Application
    Filed: August 2, 2004
    Publication date: March 17, 2005
    Applicants: Multimedia Glory SDN. BHD., Multimedia Glory (S) PTE LTD
    Inventor: K. Karthik
  • Publication number: 20050041876
    Abstract: The invention discloses a process of recoding biometric features in recordable medium comprising several steps. Raw biometrics feature such as finger prints, palm prints, iris image, retina image and other biometrics feature or a combination thereof are extracted. The raw biometrics feature is segmented into at least two segment units. Anchor features and at least two other significant features in each segment are identified. The anchor feature consists of centre point in finger prints or palm prints, optic disc in retina image or lens section in iris image. The significant features consist of ridge join points, ridge line endings for finger prints or palm prints and macula and vessel density in retina, and lens and iris portion in iris image. The relativity in position of each significant feature in relation to the anchor feature is computed. The relativity includes one or more of the following; distance, direction or segments units.
    Type: Application
    Filed: August 2, 2004
    Publication date: February 24, 2005
    Applicants: Multimedia Glory SDN. BHD., Multimedia Glory (S) PTE LTD
    Inventor: K. Karthik