Abstract: Methods and apparatus are described for performing a biometric function on a purported skin site. The site is illuminated under distinct optical conditions and light reflected from the site is received. A feature value for several features is derived from the received light, permitting a comparison to be performed with reference feature values. Whether the purported skin site is a true skin site is determined from the comparison.

Abstract: Methods and apparatus are provided of deriving a discrimination feature set for use in identifying biometric spoofs. True skin sites are illuminated under distinct optical conditions and light reflected from each of the true skin sites is received. True-skin feature values are derived to characterize the true skin sites. Biometric spoofs is similarly illuminated under the distinct optical conditions and light reflected from the spoofs is received. Spoof feature values are derived to characterize the biometric spoofs. The derived true-skin feature values are compared with the derived spoof feature values to select a subset of the features to define the discrimination feature set.

Abstract: Methods and apparatus are provided for estimating a personal characteristic of an individual. A biometric data measurement is collected from the individual. The personal characteristic is determined by applying an algorithmic relationship between biometric data measurements and values of the personal characteristic derived from application of a multivariate algorithm to previous measurements.

Abstract: Methods and apparatus for non-invasively verifying human identities using near-infrared spectroscopy. Near-infrared tissue spectra can be obtained by projecting near-infrared radiation into skin on the underside of human forearms and capturing the light reflected back and out through the tissue. The tissue spectrum collected preferably includes primarily diffuse reflected light reflected from the inner dermis. Multiple tissue spectra and identities can be collected from individuals for whom identity verification may later be desired. The tissue spectra for each individual can be analyzed on a computer, and the spectra for each individual clustered or classified together using tools such as linear discriminant analysis. A target individual seeking identity verification can submit both a purported identity and a near-infrared tissue spectrum for analysis through near-infrared spectroscopy of the forearm.

Abstract: Methods and systems are provided for biometric sensing. An illumination subsystem provides light at discrete wavelengths to a skin site of an individual. A detection subsystem receives light scattered from the skin site. A computational unit is interfaced with the detection system. The computational unit has instructions for deriving a spatially distributed multispectral image from the received light at the discrete wavelengths. The computational unit also has instructions for comparing the derived multispectral image with a database of multispectral images to identify the individual.

Abstract: Spectroscopic system and spectrometers including an optical bandpass filter unit having a plurality of bandpass regions and a spatial encoding unit for encoding discrete frequencies of light passing through the optical filter. The incorporation of the encoding unit allows the spectrometer system to use a detector having one or a small number of elements, rather than using a more expensive detector array typically used with filter-based spectrometers. The system can also include an integrating chamber that collects the light that is not transmitted through the bandpass filter unit, and redirects this light to strike the filter unit again, resulting in a significant increase in the optical power passing through the filter. The integrating chamber maximizes the return of the reflected light to the filter assembly and minimizes optical losses. The integrating chamber may be an orthogonal design to preserve the optical geometric characteristics of the light entering the chamber.

Abstract: A method and apparatus for measuring a biological attribute, such as the concentration of an analyte, particularly a blood analyte in tissue such as glucose. The method utilizes spectrographic techniques in conjunction with an improved instrument-tailored or subject-tailored calibration model. In a calibration phase, calibration model data is modified to reduce or eliminate instrument-specific attributes, resulting in a calibration data set modeling intra-instrument or intra-subject variation. In a prediction phase, the prediction process is tailored for each target instrument separately using a minimal number of spectral measurements from each instrument or subject.

Abstract: Apparatus and methods for spectroscopic analysis of human tissue to classify an individual as diabetic or non-diabetic, or to determine the probability, progression or level of diabetes in an individual. Tissue optical information of an individual, including at least a measurement of at least one wavelength or group of wavelengths indicative of glycosylated collagen content in tissue, is analyzed using multivariate techniques. The multivariate techniques include an algorithm developed from optical information from individuals having a known disease state. At least one factor in the algorithm is dependent on or a function of the measurement of the at least one wavelength or group of wavelengths indicative of glycosylated collagen content in tissue from the optical information of individuals forming the database.

Abstract: Systems and methods for establishing and/or maintaining the prediction capability over time of a multivariate calibration model designed for quantitative optical spectroscopic measurement of attributes or analytes in bodily tissues, bodily fluids or other biological samples, which are particularly useful when the spectral absorbance of the attribute or analyte is small relative to the background. The present invention provides an optically similar reference sample to capture the characteristics of instrument and environmental variation and to reduce the effect of such variation on the measurement capability of the model. The optically similar reference is preferably stable over time and is designed such that its optical properties are sufficiently matched to the sample of interest that instrument and environmental variations are captured in the same manner in both the test sample of interest and the optically similar reference sample.

Abstract: Methods and systems are provided for biometric sensing. An illumination subsystem provides light at discrete wavelengths to a skin site of an individual. A detection subsystem receives light scattered from the skin site. A computational unit is interfaced with the detection system. The computational unit has instructions for deriving a spatially distributed multispectral image from the received light at the discrete wavelengths. The computational unit also has instructions for comparing the derived multispectral image with a database of multispectral images to identify the individual.

Abstract: Methods and systems are provided for identifying an individual. Electromagnetic radiation is propagated into tissue of the individual. A measured spectral variation is received in the form of electromagnetic radiation scattered from the tissue of the individual. The measured spectral variation is compared with a previously stored spectral variation over a predetermined wavelength interval. The comparison is performed at each of multiple wavelengths within the predetermined wavelength interval and is performed of a property of the measured and previously stored spectral variations that is independent of a presence of other wavelengths. The individual is designated as having an identity associated with the previously stored spectral variation if the measured spectral variation is consistent with the previously stored spectral variation.

Abstract: Methods and apparatus for non-invasively verifying human identities using near-infrared spectroscopy. Near-infrared tissue spectra can be obtained by projecting near-infrared radiation into skin on the underside of human forearms and capturing the light reflected back and out through the tissue. The tissue spectrum collected preferably includes primarily diffuse reflected light reflected from the inner dermis. Multiple tissue spectra and identities can be collected from individuals for whom identity verification may later be desired. The tissue spectra for each individual can be analyzed on a computer, and the spectra for each individual clustered or classified together using tools such as linear discriminant analysis. A target individual seeking identity verification can submit both a purported identity and a near-infrared tissue spectrum for analysis through near-infrared spectroscopy of the forearm.

Abstract: A method and apparatus for measuring a biological attribute, such as the concentration of an analyte, particularly a blood analyte in tissue such as glucose. The method utilizes spectrographic techniques in conjunction with an improved instrument-tailored or subject-tailored calibration model. In a calibration phase, calibration model data is modified to reduce or eliminate instrument-specific attributes, resulting in a calibration data set modeling intra-instrument or intra-subject variation. In a prediction phase, the prediction process is tailored for each target instrument separately using a minimal number of spectral measurements from each instrument or subject.

Abstract: Methods and systems are provided for identifying an individual. Electromagnetic radiation is propagated into tissue of the individual. A measured spectral variation is received in the form of electromagnetic radiation scattered from the tissue of the individual. The measured spectral variation is compared with a previously stored spectral variation over a predetermined wavelength interval. The comparison is performed at each of multiple wavelengths within the predetermined wavelength interval and is performed of a property of the measured and previously stored spectral variations that is independent of a presence of other wavelengths. The individual is designated as having an identity associated with the previously stored spectral variation if the measured spectral variation is consistent with the previously stored spectral variation.

Abstract: Apparatus and methods for spectroscopic analysis of human tissue to classify an individual as diabetic or non-diabetic, or to determine the probability, progression or level of diabetes in an individual. Tissue optical information of an individual, including at least a measurement of at least one wavelength or group of wavelengths indicative of glycosylated collagen content in tissue, is analyzed using multivariate techniques. The multivariate techniques include an algorithm developed from optical information from individuals having a known disease state. At least one factor in the algorithm is dependent on or a function of the measurement of the at least one wavelength or group of wavelengths indicative of glycosylated collagen content in tissue from the optical information of individuals forming the database.

Abstract: Methods and apparatus for non-invasively verifying human identities using near-infrared spectroscopy. Near-infrared tissue spectra can be obtained by projecting near-infrared radiation into skin on the underside of human forearms and capturing the light reflected back and out through the tissue. The tissue spectrum collected preferably includes primarily diffuse reflected light reflected from the inner dermis. Multiple tissue spectra and identities can be collected from individuals for whom identity verification may later be desired. The tissue spectra for each individual can be analyzed on a computer, and the spectra for each individual clustered or classified together using tools such as linear discriminant analysis. A target individual seeking identity verification can submit both a purported identity and a near-infrared tissue spectrum for analysis through near-infrared spectroscopy of the forearm.

Abstract: Methods and apparatus for performing biometric identification or verification of identities using optical spectroscopy of tissue. Tissue optical spectra can be obtained by projecting optical radiation into skin and capturing the light transmitted or reflected back and out through the tissue. The tissue spectra collected preferably includes primarily light that has passed through skin tissue below the epidermis. Multiple tissue spectra and identities can be collected from one or more individuals. These tissue spectra can be analyzed on a computer, and the spectral features that are most important for classifying person-to-person differences can be established using principle component analysis, linear discriminant analysis, or a variety of other related techniques. One or more tissue spectra and identities can be collected from individuals for whom identification or verification may later be desired.

Abstract: According to the invention, a sampling system for spectroscopic measurements of a biological sample is disclosed. The sampling system includes a plurality of illumination points, a plurality of detection points, a memory, and a processor. Each of the plurality of illumination points is involved in at least two measurements of illumination through the biological sample. Each of the plurality of detection points is involved in at least two measurements of illumination through the biological sample. The memory stores a plurality of measurements. The processor determines a value from the plurality of measurements that is related to the biological sample.

Abstract: A method and apparatus for non-invasively measuring a biological attribute, such as the concentration of an analyte, particularly a blood analyte in tissue such as glucose. The method utilizes spectrographic techniques in conjunction with an improved subject-tailored calibration model. In a calibration phase, calibration model data is modified to reduce or eliminate subject-specific attributes, resulting in a calibration data set modeling within- subject physiological variation, sample location, insertion variations, and instrument variation. In a prediction phase, the prediction process is tailored for each target subject separately using a minimal number of spectral measurements from each subject.

Abstract: Systems and methods for establishing and/or maintaining the prediction capability over time of a multivariate calibration model designed for quantitative optical spectroscopic measurement of attributes or analytes in bodily tissues, bodily fluids or other biological samples, which are particularly useful when the spectral absorbance of the attribute or analyte is small relative to the background. The present invention provides an optically similar reference sample to capture the characteristics of instrument and environmental variation and to reduce the effect of such variation on the measurement capability of the model. The optically similar reference is preferably stable over time and is designed such that its optical properties are sufficiently matched to the sample of interest that instrument and environmental variations are captured in the same manner in both the test sample of interest and the optically similar reference sample.