Patent ReferencesFingerprint identification system Methods for digitally noise averaging and illumination equalizing fingerprint images Pattern selecting device capable of selecting favorable candidate patterns Fingerprint verification method employing plural correlation judgement levels and sequential judgement stages Apparatus and method for detecting a face in a video image Patent #: 5715325 InventorApplicationNo. 709302 filed on 09/09/1996US Classes:382/124, Using a fingerprint382/209Template matching (e.g., specific devices that determine the best match)ExaminersPrimary: Boudreau, Leo H.Assistant: Mehta, Bhavesh M. Attorney, Agent or FirmInternational ClassG06K 009/00AbstractPreferably a sensor receives a print image from an authorized person to form a template, and from a candidate to form test data. Noise variance is estimated from the test data as a function of position in the image, and used to weight the importance of comparison with the template at each position. Test data are multilevel, and are bandpassed and normalized--and expressed as local sinusoids--for comparison. A ridge spacing and direction map of the template is stored as vector wavenumber fields, which are later used to refine comparison. Global dilation--and also differential distortions--of the test image are estimated, and taken into account in the comparison. Comparison yields a test statistic that is the ratio, or log of the ratio, of the likelihoods of obtaining the test image assuming that it respectively was, and was not, formed by an authorized user. The test statistic is compared with a threshold value, preselected for a desired level of certainty, to make the verification decision--which controls access to a utilization system such as facilities, equipment, a financial service, or a system for providing or receiving information. Certain forms of the invention also encompass the utilization system. Nonvolatile memory holds instructions for automatic operation as described above.Field of SearchPersonnel identification (e.g., biometrics)Using a combination of features (e.g., signature and fingerprint) Using a fingerprint Extracting minutia such as ridge endings and bifurcations Feature extraction Multispectral features (e.g., frequency, phase) Point features (e.g., spatial coordinate descriptors) Global features (e.g., measurements on image as a whole, such as area, projections, etc.) Template matching (e.g., specific devices that determine the best match) IMAGE ENHANCEMENT OR RESTORATION Image filter Artifact removal or suppression (e.g., distortion correction) DOCUMENT PATTERN ANALYSIS OR VERIFICATION | |