Methods and systems for estimation of personal characteristics from biometric measurements

1. A method for estimating a continuous personal characteristic of an individual, the method comprising:

collecting a spatio-spectral biometric data measurement from the individual; and

determining the continuous personal characteristic of the individual by applying an algorithmic relationship between spatio-spectral biometric data measurements and values of the continuous personal characteristic derived from application of an algorithm to a plurality of spatio-spectral biometric data measurements and corresponding collected personal-characteristic values.

2. The method recited in claim 1 wherein the spatio-spectral biometric data measurement and the plurality of spatio-spectral biometric data measurements comprise dermatoglyphic measurements.

3. The method recited in claim 1 wherein collecting the spatio-spectral biometric data measurement comprises:

illuminating a skin site of the individual with light;

receiving light scattered from the skin site; and

deriving a spatio-spectral multispectral image from the received light.

4. The method recited in claim 1 wherein the continuous personal characteristic is selected from the group consisting of age, weight, body-mass index, race, ethnicity, and work classification.

5. The method recited in claim 1 further comprising:

collecting the plurality of spatio-spectral biometric data measurements and the corresponding personal-characteristic values; and

applying the algorithm to the plurality of spatio-spectral biometric data measurements and corresponding personal-characteristic values to derive the algorithmic relationship.

6. The method recited in claim 1 further comprising determining a second personal characteristic of the individual by applying a second algorithmic relationship between spatio-spectral biometric data measurements and values of the second personal characteristic derived from application of a second algorithm to the plurality of spatio-spectral biometric data measurements and corresponding collected second personal-characteristic values.

7. The method recited in claim 1 wherein the algorithm comprises a multivariate algorithm.

8. A method for estimating a personal characteristic of an individual, the method comprising:

illuminating a skin site of the individual with light;

receiving light scattered from the skin site;

deriving a spatio-spectral multispectral image from the received light; and

determining the personal characteristic of the individual by applying an algorithmic relationship between spatio-spectral multispectral images and values of the personal characteristic derived from application of an algorithm to a plurality of spatio-spectral multispectral images and corresponding collected personal-characteristic values.

9. The method recited in claim 8 wherein the personal characteristic is a binary personal characteristic.

10. The method recited in claim 8 wherein the personal characteristic is a continuous personal characteristic.

11. The method recited in claim 8 wherein illuminating the skin site comprises:

generating the light at a plurality of discrete wavelengths as a plurality of quasimonochromatic beams; and

directing the generated light to the skin site.

12. The method recited in claim 8 wherein illuminating the skin site comprises:

generating a broadband beam of light;

filtering the broadband beam to provide light at a plurality of discrete wavelengths; and

directing the filtered broadband beam to the skin site.

13. The method recited in claim 8 wherein:

illuminating the skin site comprises polarizing the light with a first polarization; and

receiving the light comprises polarizing the received light with a second polarization that is substantially crossed relative to the first polarization.

14. The method recited in claim 8 further comprising:

collecting the plurality of spatio-spectral multispectral images and the corresponding personal-characteristic values; and

applying the algorithm to the plurality of spatio-spectral multispectral images and corresponding personal-characteristic values to derive the algorithmic relationship.

15. The method recited in claim 8 further comprising determining a second personal characteristic of the individual by applying a second algorithmic relationship between spatio-spectral multispectral images and values of the second personal characteristic derived from application of a second algorithm to the plurality of spatio-spectral multispectral images and corresponding collected second personal-characteristic values.

16. The method recited in claim 8 wherein the algorithm is a multivariate algorithm.

17. A method for estimating a personal characteristic of an individual, the method comprising:

collecting a spatio-spectral biometric data measurement from the individual; and

determining the personal characteristic of the individual by applying an algorithmic relationship between spatio-spectral biometric data measurements and values of the personal characteristic derived from application of a multivariate algorithm to a plurality of spatio-spectral biometric data measurements and corresponding collected personal-characteristic values.

18. The method recited in claim 17 wherein the spatio-spectral biometric data measurement and the plurality of spatio-spectral biometric data measurements comprise dermatoglyphic measurements.

19. The method recited in claim 17 wherein collecting the spatio-spectral biometric data measurement comprises:

illuminating a skin site of the individual with light;

receiving light scattered from the skin site; and

deriving a spatio-spectral multispectral image from the received light.

20. A sensor system comprising:

an illumination subsystem disposed to provide light to a skin site of an individual;

a detection subsystem disposed to receive light scattered from the skin site; and

a computational unit interfaced with the detection subsystem and having:

instructions to derive a spatio-spectral multispectral image from the received light; and

instructions to determine a personal characteristic of the individual by applying an algorithmic relationship between spatio-spectral multispectral images and values of the personal characteristic derived from application of an algorithm to a plurality of spatio-spectral multispectral images and corresponding collected personal-characteristic values.

21. The sensor system recited in claim 20 wherein the illumination subsystem comprises:

a light source that provides the light at a plurality of discrete wavelengths; and

illumination optics to direct the light to the skin site.

22. The sensor system recited in claim 21 wherein the illumination system further comprises a scanner mechanism to scan the light in a specified pattern.

23. The sensor system recited in claim 21 wherein the light source comprises a plurality of quasimonochromatic light sources.

24. The sensor system recited in claim 20 wherein the illumination subsystem comprises:

a broadband light source; and

a filter disposed to filter light emitted from the broadband source.

25. The sensor system recited in claim 20 wherein the detection subsystem comprises:

a light detector; and

detection optics to direct the received light to the light detector.

26. The sensor system recited in claim 20 wherein:

the illumination subsystem comprises a first polarizer disposed to encounter the provided light;

the detection subsystem comprises a second polarizer disposed to encounter the received light; and

the first and second polarizers are substantially crossed relative to each other.

27. The sensor system recited in claim 20 wherein the computational unit further has instructions to determine a second characteristic of the individual by applying a second algorithmic relationship between spatio-spectral multispectral images and values of the second personal characteristic derived from application of a second algorithm to the plurality of spatio-spectral multispectral images and corresponding collected second personal-characteristic values.