Patents by Inventor Nalini Ratha
Nalini Ratha 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).
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Patent number: 11343068Abstract: Respective sets of homomorphically encrypted training data are received from multiple users, each encrypted by a key of a respective user. The respective sets are provided to a combined machine learning model to determine corresponding locally learned outputs, each in an FHE domain of one of the users. Conversion is coordinated of the locally learned outputs in the FHE domains into an MFHE domain, where each converted locally learned output is encrypted by all of the users. The converted locally learned outputs are aggregated into a converted composite output in the MFHE domain. A conversion is coordinated of the converted composite output in the MFHE domain into the FHE domains of the corresponding users, where each converted decrypted composite output is encrypted by only a respective one of the users. The combined machine learning model is updated based on the converted composite outputs. The model may be used for inferencing.Type: GrantFiled: February 6, 2019Date of Patent: May 24, 2022Assignee: International Business Machines CorporationInventors: Karthik Nandakumar, Nalini Ratha, Shai Halevi, Sharathchandra Pankanti
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Publication number: 20200252198Abstract: Respective sets of homomorphically encrypted training data are received from multiple users, each encrypted by a key of a respective user. The respective sets are provided to a combined machine learning model to determine corresponding locally learned outputs, each in an FHE domain of one of the users. Conversion is coordinated of the locally learned outputs in the FHE domains into an MFHE domain, where each converted locally learned output is encrypted by all of the users. The converted locally learned outputs are aggregated into a converted composite output in the MFHE domain. A conversion is coordinated of the converted composite output in the MFHE domain into the FHE domains of the corresponding users, where each converted decrypted composite output is encrypted by only a respective one of the users. The combined machine learning model is updated based on the converted composite outputs. The model may be used for inferencing.Type: ApplicationFiled: February 6, 2019Publication date: August 6, 2020Inventors: Karthik Nandakumar, Nalini Ratha, Shai Halevi, Sharathchandra Pankanti
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Patent number: 9031288Abstract: A method, an apparatus and an article of manufacture for generating a cardiovascular measurement for individual identification. The method includes acquiring at least one depiction of cardiac anatomy from an individual, extracting at least one quantified representation of cardiac anatomy from the at least one depiction, defining at least one comparison technique between the at least one quantified representation of cardiac anatomy and at least one additional quantified representation of cardiac anatomy, and identifying the individual based on the at least one defined comparison technique.Type: GrantFiled: April 18, 2012Date of Patent: May 12, 2015Assignee: International Business Machines CorporationInventors: Noel C. Codella, Jonathan Connell, Gong Leiguang, Apostol I. Natsev, Nalini Ratha
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Publication number: 20130279764Abstract: A method, an apparatus and an article of manufacture for generating a cardiovascular measurement for individual identification. The method includes acquiring at least one depiction of cardiac anatomy from an individual, extracting at least one quantified representation of cardiac anatomy from the at least one depiction, defining at least one comparison technique between the at least one quantified representation of cardiac anatomy and at least one additional quantified representation of cardiac anatomy, and identifying the individual based on the at least one defined comparison technique.Type: ApplicationFiled: April 18, 2012Publication date: October 24, 2013Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Noel C. Codella, Jonathan Connell, Gong Leiguang, Apostol I. Natsev, Nalini Ratha
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Publication number: 20070242859Abstract: The invention provides a method, system, and program product for identifying an individual using biometric data based on the individual's brain. In one embodiment, the invention includes constructing a biometric signature based on at least one of: features within a two-dimensional scan of the individual's brain and a difference in features between at least two two-dimensional scans of the individual's brain.Type: ApplicationFiled: April 17, 2006Publication date: October 18, 2007Applicant: International Business Machines CorporationInventors: Jonathan Connell, Chitra Dorai, Sunil Noronha, Nalini Ratha
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Publication number: 20070217708Abstract: The invention provides a method, system, and program product for transforming a multi-dimensional biometric feature point set. More particularly, the invention provides a method for transforming a biometric image using surface folding of the image. In one embodiment, the invention provides a method for transforming a multi-dimensional biometric feature point set, the method comprising: converting the multi-dimensional biometric feature point set to a canonical position and orientation; applying a non-invertible transform function to each of a plurality of points of the biometric feature point set; and providing a transformed biometric feature point set comprising a plurality of transformed points.Type: ApplicationFiled: March 20, 2006Publication date: September 20, 2007Applicant: International Business Machines CorporationInventors: Rudolf Bolle, Sharat Chikkerur, Jonathan Connell, Nalini Ratha
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Publication number: 20070201694Abstract: The system and method obscures descriptive image information about one or more images. The system comprises a selector for selecting the descriptive image information from one or more of the images, a transformer that transforms the descriptive information into a transformed state, and an authorizer that provides authorization criteria with the image. In a preferred embodiment, the transformed state is the respective image encoded with the descriptive information. The descriptive information can be obscured so that the descriptive information in the transformed state can be decoded only if one or more authorization inputs satisfy the authorization criteria.Type: ApplicationFiled: March 20, 2007Publication date: August 30, 2007Inventors: Rudolf Bolle, Lisa Brown, Jonathan Connell, Arun Hampapur, Sharathchandra Pankanti, Nalini Ratha, Andrew Senior, Ying-Li Tian
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Patent number: 7072523Abstract: In an automatic fingerprint authentication or identification system, the fingerprint image acquisition is severely effected by the limitations of the acquisition process. The two modes of input, viz. scanning inked fingerprints from paper records or directly from a finger using live-scan fingerprint scanners suffer from the following noise sources in the input in addition to standard noise in the camera. Non-uniform ink application, uneven pressure while rolling on the paper or pressing on the scanner surface and external dirt like oil and climatic variations in the moisture content of skin are some of the main causes for the ridges and valleys not to be imaged clearly. This invention deals with a method of learning a set of partitioned least-sqaures filters that can be derived from a given set of images and ground truth pairs as an offline process. The learned filters are convolved with input fingerprint images to obtain the enhanced image.Type: GrantFiled: August 31, 2001Date of Patent: July 4, 2006Assignee: Lenovo (Singapore) Pte. Ltd.Inventors: Rudolf M. Bolle, Sugata Ghosal, Sarathchandra Pankanti, Nalini Ratha, Raghavendra U. Udupa
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Publication number: 20060104484Abstract: There is provided an apparatus, method, and program storage device for representing biometrics. The apparatus includes a biometric feature extractor and a transformer. The biometric feature extractor is for extracting features corresponding to a biometric depicted in an image, and for defining one or more sets of one or more geometric shapes by one or more of the features. Each of the one or more geometric shapes has one or more geometric features that is invariant with respect to a first set of transforms applied to at least a portion of the image. The transformer is for applying the first set of transforms to the at least a portion of the image to obtain one or more feature representations that include one or more of the one or more geometric features, and for applying a second set of transforms to the one or more feature representations to obtain one or more transformed feature representations.Type: ApplicationFiled: November 16, 2004Publication date: May 18, 2006Inventors: Rudolf Bolle, Jonathan Connell, Sharathchandra Pankanti, Nalini Ratha
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Publication number: 20050229007Abstract: A method and system is provided to provide enrollment of biometric data from individuals without the need for the enrollees to travel to a central location. The system and method provides for optionally detecting multiple types of biometric data, for example, fingerprints, facial scan, visual scan, iris scan, voice scan, or the like, to be captured at the point of enrollee use. During the biometric capture process, the biometric enrollment device monitors and establishes the identity of the enrollee and measures the quality of the biometric input as it occurs. If unacceptable quality is detected, then repeated biometric scans may be necessary, but is done at time of enrollment avoiding any need to send inaccurate information back to a service institution. When the enrollment process completes, the biometric data is encrypted, time stamped and either mailed back to the service institution or is transmitted back.Type: ApplicationFiled: April 6, 2004Publication date: October 13, 2005Inventors: Rudolf Bolle, Sharathchandra Pankanti, Nalini Ratha, Andrew Senior
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Publication number: 20020146178Abstract: In an automatic fingerprint authentication or identification system, the fingerprint image acquisition is severely effected by the limitations of the acquisition process. The two modes of input, viz. scanning inked fingerprints from paper records or directly from a finger using live-scan fingerprint scanners suffer from the following noise sources in the input in addition to standard noise in the camera. Non-uniform ink application, uneven pressure while rolling on the paper or pressing on the scanner surface and external dirt like oil and climatic variations in the moisture content of skin are some of the main causes for the ridges and valleys not to be imaged clearly. This invention deals with a method of learning a set of partitioned least-sqaures filters that can be derived from a given set of images and ground truth pairs as an offline process. The learned filters are convolved with input fingerprint images to obtain the enhanced image.Type: ApplicationFiled: August 31, 2001Publication date: October 10, 2002Applicant: International Business Machines CorporationInventors: Rudolf M. Bolle, Sugata Ghosal, Sarathchandra Pankanti, Nalini Ratha, Raghavendra U. Udupa