Patent application number | Description | Published |
20080253621 | BRAIN SHAPE AS A BIOMETRIC - 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. | 10-16-2008 |
20080285815 | METHOD, SYSTEM, AND PROGRAM PRODUCT FOR TRANSFORMING A BIOMETRIC IMAGE - 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. | 11-20-2008 |
20100046805 | REGISTRATION-FREE TRANSFORMS FOR CANCELABLE IRIS BIOMETRICS - A system and method for generating a cancelable biometric includes shifting at least one pixel region in a biometric image comprised of pixel regions. The at least one pixel region is combined with at least one other pixel region to form a replacement region for the at least one pixel region to form a transformed image. The biometric image is reused to generate another transformed image if the transformed image is to be canceled. | 02-25-2010 |
20100046808 | SALTING SYSTEM AND METHOD FOR CANCELABLE IRIS BIOMETRIC - A system and method for generating a cancelable biometric includes providing at least one pattern and combining the at least one pattern with a biometric image by employing a transform pixel operation to generate a transformed enrollment such that information about the transform pixel operation and the at least one pattern form a security key for protecting the biometric image. The biometric image is reused to generate another security key in the event that the security key is to be canceled. | 02-25-2010 |
20120324235 | SYSTEM AND METHOD FOR REMOTE SELF-ENROLLMENT IN BIOMETRIC DATABASES - Methods and systems for remotely enrolling enrollees into biometric databases are provided. The method includes acquiring biometric data from one or more biometric sensors and authenticating an enrollee associated with the biometric data. The method includes enrolling the authenticated enrollee associated with the biometric data. The acquiring occurs externally from equipment that requires an identification. The method includes verifying individual samplings of the biometric data for quality at the time of enrollment based on a pre-determined threshold and verifying whether the enrollee presenting the biometric data is authenticated at the time of enrollment. The method includes signing a request of a third party with a private key associated with the third party, the signing denoting that the biometric data is verified for a transaction between the third party and the enrollee. The method includes sending the signed third party request to the third party to complete authenticating of the transaction. | 12-20-2012 |
Patent application number | Description | Published |
20090123034 | Method, Apparatus and Computer Program Product Implementing Anonymous Biometric Matching - Method, apparatus and computer program product compare biometrics in an anonymous manner. A first collection of biometrics is transformed using a first cancelable non-invertible biometric transform to create a first collection of transformed biometrics. A second collection of biometrics is transformed using the first cancelable non-invertible biometric transform to create a second collection of transformed biometrics. The first and second collection of transformed biometrics are then compared in the transformed domain to determine if any of the transformed biometrics from the first collection match any of the transformed biometrics from the second collection. If a match is found, the parties respectively maintaining the first and second collections of biometrics exchange information confidential nature of the biometrics are maintained by the entities responsible for the collections, since the biometrics are not compared in an untransformed state. | 05-14-2009 |
20090310830 | Anonymous and Revocable Fingerprint Recognition - A biometric representation of a fingerprint from which the original biometric cannot be recovered (privacy) and which can be canceled and reissued. For example, based on an individual's token, the representation can be scrambled uniquely to the individual. From the scrambled biometric representation it is not feasible to reconstruct the biometric and if the representation is compromised, a new one is easily issued. In another aspect, if a biometric can be represented by some other one-dimensional structure, a distance or similarity measure is defined to compare biometrics. Verification decisions can be made based on the distance between or similarity of biometrics. | 12-17-2009 |
20120200392 | Method, Apparatus and Computer Program Product Implementing Anonymous Biometric Matching - Method, apparatus and computer program product compare biometrics in an anonymous manner. A first collection of biometrics is transformed using a first cancelable non-invertible biometric transform to create a first collection of transformed biometrics. A second collection of biometrics is transformed using the first cancelable non-invertible biometric transform to create a second collection of transformed biometrics. The first and second collection of transformed biometrics are then compared in the transformed domain to determine if any of the transformed biometrics from the first collection match any of the transformed biometrics from the second collection. If a match is found, the parties respectively maintaining the first and second collections of biometrics exchange information concerning the individual associated with the matching biometrics. In this manner the confidential nature of the biometrics are maintained by the entities responsible for the collections, since the biometrics are not compared in an untransformed state. | 08-09-2012 |