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EP2044557: A METHOD AND APPARATUS FOR THE GENERATION OF CODE FROM PATTERN FEATURES

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Filing Information

Inventor(s) William Gareth James HOWELLS · Michael Christopher FAIRHURST · Farzin DERAVI ·
Assignee(s) University of Kent ·
Attorney/Agent(s) Nicholas Justin Ertl ·
Application Number EP07804012.8
Filing date 07/03/2007
Issue date 10/27/2010
U.S. Classifications --
International Classifications G06K 9/62  ·
Kind CodeB1
PCT Application Number GB2007002471 - 07/03/2007
PCT Publication Number WO2008003945 - 01/10/2008
9 Claims, 1 Drawings


Abstract

The current document has no english abstract.

Independent Claims | See all claims (27)

  1. An encryption and decryption method, comprising: generating a code from a set of biometric samples, each sample in the form of a pattern, the code generating comprising: (i) analysing a plurality of samples and obtaining feature values for the samples, each sample being interpreted as a plurality of features of a previously defined feature set obtained during an initial calibration; (ii) normalising the feature values by adapting the feature values such that they may each take only a predetermined range of values, each with substantially equal likelihood; (iii) obtaining mean, variance and covariance values for the different feature values from the plurality of samples; (iv) setting quantization levels for each feature using the obtained mean and variance values, the quantization levels determining the range of feature values to be considered as equivalent during quantization; (v) de-correlating the feature values using de-correlating coefficients obtained from the covariance values and (vi) deriving a single code from a combination of the de-correlated feature values, wherein the single code comprises a sub-set of the bits derived from the combination of feature values; using the code to form a private encryption key; using the private encryption key to encrypt data. decrypting the encrypted data by taking a further biometric sample to generate the required private key, wherein the method is template-free having no physical record of the private key or any form of information regarding the biometric itself, wherein the initial calibration phase for determining the pre-defined feature set, comprises: obtaining multiple calibration samples form multiple users; analysing the calibration samples and obtaining feature values for the samples; obtaining mean, variance and covariance values for the different features from the plurality of samples, wherein those mean and variance values are used in setting static quantization intervals used to re-create each time dynamically said mean and variance values of said code generating phase.
  2. A method as claimed in any preceding claim, wherein deriving a single value comprises: obtaining a de-correlated feature value for each feature; and combining the de-correlated feature values by: performing a summing operation to combine the de-correlated feature values into to a single word; removing the lowest significant bits of the word; and removing the highest significant bit of the word.
  3. A computer program which wen run on a computer is adapted to perform the method as claimed in any preceding claim.
  4. An encryption and decryption system, comprising: a system for generating a code from a set of biometric samples, comprising: means for analysing a plurality of samples and obtaining feature values for the samples, each sample being interpreted as a plurality of features of a previously defined feature set obtained during an initial calibration; processing means for : calculating mean and variance values for the different feature values from the plurality of samples; setting quantization levels for each feature using the obtained mean and variance values together with the sample data, the quantization levels determining the range of feature values to be considered as equivalent during quantization; normalising the feature values by adapting the feature values such that they may each take only a predetermined range of values, each with substantially equal likelihood; and deriving a single code from a combination of the feature values, wherein the single code comprises a sub-set of the bits derived from the combination of feature values; means for using the code to form a private encryption key; means for using the private encryption key to encrypt data. means for decrypting the encrypted data by taking a further biometric sample to generate the required private key, wherein the system is template-free having no physical record of the private key or any form of information regarding the biometric itself, wherein the system further comprises means for performing the initial calibration phase for determining the pre-defined feature set by: obtaining multiple calibration samples form multiple users; analysing the calibration samples and obtaining feature values for the samples; and obtaining mean, variance and covariance values for the different features from the plurality of samples, wherein those mean and variance values are used in setting static quantization intervals used to re-create each time dynamically said mean and variance values calculated by said system for generating a code.

References Cited

U.S. Patent Documents

Document NumberAssigneesInventorsIssue/Pub Date
USA12006104484

Foreign Patent Documents

Document NumberAssigneesInventorsIssue/Pub Date
WO2005122467KONINKLIJKE PHILIPS ELECTRONICS N.V.

Other Publications

H. FENG ET AL.: "Private key generation from on-line handwritten signatures" INFORMATION MANAGEMENT AND COMPUTER SOCIETY, vol. 10, no. 4, 2002, pages 159-164, XP008084841
Y.-J. CHANG ET AL.: "Biometrics-based cryptographic key generation" IEEE INTL. CONF. ON MULTIMEDIA AND EXPO (ICME), 2004, pages 2203-2206, XP002454918
C. VIELHAUER ET AL.: "Handwriting: Feature Correlation Analysis for Biometric Hashes" EURASIP JOURNAL OF APPLIED SIGNAL PROCESSING, vol. 4, 2004, pages 542-558, XP002454919
TEE CONNIE ET AL: "PalmHashing: a novel approach for dual-factor authentication" 1 December 2004 (2004-12-01), PATTERN ANALYSIS AND APPLICATIONS, SPRINGER-VERLAG, LO, PAGE(S) 255-268 , XP019381458 ISSN: 1433-755X the whole document

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