IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
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출원번호 |
US-0051173
(2008-03-19)
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등록번호 |
US-8285010
(2012-10-09)
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발명자
/ 주소 |
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출원인 / 주소 |
|
대리인 / 주소 |
Marsh Fischmann & Breyfogle LLP
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인용정보 |
피인용 횟수 :
11 인용 특허 :
278 |
초록
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Systems, devices, methods, and software are described for biometric sensors that permit a reduction in the size of the sensing area without significant reduction in biometric functionality of the sensor. A skin site of an individual is illuminated, and light scattered from the skin site is received.
Systems, devices, methods, and software are described for biometric sensors that permit a reduction in the size of the sensing area without significant reduction in biometric functionality of the sensor. A skin site of an individual is illuminated, and light scattered from the skin site is received. An image of a locally consistent feature of the skin site is formed from the received light. The locally consistent feature is analyzed to perform a biometric function.
대표청구항
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1. A method of performing a biometric identification, the method comprising: illuminating a small-area of a finger of an individual with illumination light from an illumination source;receiving, at a sensor, light scattered from the small-area of the finger;generating, with a processor, a local feat
1. A method of performing a biometric identification, the method comprising: illuminating a small-area of a finger of an individual with illumination light from an illumination source;receiving, at a sensor, light scattered from the small-area of the finger;generating, with a processor, a local feature profile from the received light, wherein the local feature profile identifies a feature of the small-area of the finger, the feature of the small-area of the finger being of a type predetermined to exhibit substantial local consistency; andanalyzing, with a processor, the generated local feature profile to perform the biometric identification,wherein analyzing the generated local feature profile comprises comparing the generated local feature profile with a reference local feature profile,wherein the reference local feature profile was generated from light scattered from a small-area reference skin site, andwherein the small-area of the finger is from a substantially different portion of the finger than the small-area reference skin site. 2. The method recited in claim 1, wherein the small-area of the finger is in contact with a surface. 3. The method recited in claim 2, wherein the light is received substantially in a plane that includes the surface. 4. The method recited in claim 1, wherein the small-area of the finger is a volar skin surface of the individual. 5. The method recited in claim 4, wherein the volar skin surface of the individual comprises a portion of a fingerprint of the individual. 6. The method recited in claim 1, wherein generating the local feature profile comprises: forming an image from the received light;generating spatially-distributed multispectral data from the image; andprocessing the spatially-distributed multispectral data to generate the local feature profile. 7. The method recited in claim 1, wherein generating the local feature profile comprises: forming an image from the received light;generating an image-texture measure from the image; andprocessing the generated image-texture measure to generate the local feature profile. 8. The method recited in claim 1 wherein: the biometric function comprises an antispoofing function; andanalyzing the generated local feature profile comprises determining whether the small-area of the finger comprises living tissue from the generated local feature profile. 9. The method recited in claim 1 wherein: the biometric function comprises an identity function; andanalyzing the generated local feature profile comprises determining an identity of the individual from the generated local feature profile. 10. The method recited in claim 1 wherein: the biometric function comprises a demographic function; andanalyzing the generated local feature profile comprises estimating a demographic characteristic of the individual from the generated local feature profile. 11. The method recited in claim 1 wherein: the biometric function comprises an anthropometric function; andanalyzing the generated local feature profile comprises estimating an anthropometric characteristic of the individual from the generated local feature profile. 12. The method recited in claim 1 wherein: receiving light scattered from the small-area of the finger comprises receiving light scattered from the small-area of the finger at an imaging detector. 13. The method recited in claim 12 wherein: receiving light scattered from the small-area of the finger comprises receiving light scattered from the small-area of the finger at a surface plane of the imaging detector. 14. The method recited in claim 12 wherein receiving light scattered from the small-area of the finger comprises: receiving a pattern of light at a surface plane of a sensor platen;translating the pattern of light from the surface plane of the platen to the imaging detector without substantial degradation or attenuation of the pattern of light, wherein the imaging detector is disposed outside the surface plane of the platen; andreceiving the translated pattern of light at the imaging detector. 15. The method recited in claim 1 wherein the illumination light is white light. 16. The method recited in claim 1 wherein illuminating the small-area of the finger comprises illuminating the small-area of the finger under a plurality of distinct optical conditions. 17. The method recited in claim 16 wherein illuminating the small-area of the finger under the plurality of distinct optical conditions comprises illuminating the small-area of the finger with light under a plurality of distinct polarization conditions. 18. The method recited in claim 16 wherein illuminating the small-area of the finger under the plurality of distinct optical conditions comprises illuminating the small-area of the finger with white light under a plurality of distinct wavelengths. 19. The method recited in claim 16 wherein generating the local feature profile from the received light comprises: generating a plurality of images, each of the plurality of images corresponding to one of the distinct optical conditions; andapplying a compositing algorithm to the plurality of images. 20. The method recited in claim 16 wherein the reference local feature profile was further generated by: generating a composite reference image from a plurality of images, each of the plurality of images corresponding to a previously imaged small-area reference skin site. 21. The method recited in claim 16 wherein illuminating the small-area of the finger under the plurality of distinct optical conditions comprises illuminating the small-area of the finger with light having a plurality of different wavelengths. 22. The method recited in claim 21 wherein generating the local feature profile comprises: generating a plurality of images corresponding to the different wavelengths; andperforming a spatial moving-window analysis of at least a portion of the plurality of images. 23. The method recited in claim 22 wherein performing the spatial moving-window analysis comprises calculating a moving-window Fourier transform on the plurality of images. 24. The method recited in claim 22 wherein performing the spatial moving-window analysis comprises calculating a moving-window centrality measure and a moving-window variability measure of the plurality of images. 25. The method recited in claim 1 wherein receiving light scattered from the small-area of the finger comprises receiving light scattered from the small-area of the finger at a monochromatic imaging detector. 26. The method recited in claim 1 wherein receiving light scattered from the small-area of the finger comprises receiving light scattered from the small-area of the finger at a color imaging detector. 27. The method recited in claim 1 further comprising: comparing spectral features of the received light with reference spectral features in performing the biometric function. 28. A biometric sensor comprising: an illumination subsystem disposed to illuminate a small-area of a finger of an individual with illumination light;a detection subsystem disposed to receive light scattered from the small-area of the finger; anda computational unit interfaced with the detection subsystem and having:instructions for generating a local feature profile from the received light, wherein the local feature profile identifies a feature of the small-area of the finger, the feature of the small-area of the finger being of a type predetermined to exhibit substantial local consistency; andinstructions for analyzing the generated local feature profile to perform a biometric identification,wherein analyzing the generated local feature profile comprises comparing the generated local feature profile with a reference local feature profile,wherein the reference local feature profile was generated from light scattered from a small-area reference skin site, andwherein the small-area of the finger is from a substantially different portion of the finger than the reference small-area skin site. 29. The biometric sensor recited in claim 28, further comprising: a surface disposed for contact with the small-area of the finger of the individual. 30. The biometric sensor recited in claim 29, wherein: the illumination subsystem is disposed to illuminate the small-area of the finger when the small-area of the finger is in contact with the surface. 31. The biometric sensor recited in claim 29, wherein: the light is received substantially in a plane that includes the surface. 32. The biometric sensor recited in claim 28, wherein the small-area of the finger is a volar skin surface of the individual. 33. The biometric sensor recited in claim 32, wherein the volar skin surface of the individual comprises a portion of a fingerprint of the individual. 34. The biometric sensor recited in claim 28, wherein the instructions for generating the local feature profile comprise: forming an image from the received light;generating spatially-distributed multispectral data from the image; andprocessing the spatially-distributed multispectral data to generate the local feature profile. 35. The biometric sensor recited in claim 28, wherein the instructions for generating the local feature profile comprise: forming an image from the received light;generating an image-texture measure from the image; andprocessing the generated image-texture measure to generate the local feature profile. 36. The biometric sensor recited in claim 28 wherein: the biometric function comprises an antispoofing function; andthe instructions for generating the local feature profile comprise determining whether the small-area of the finger comprises living tissue from the generated local feature profile. 37. The biometric sensor recited in claim 28 wherein: the biometric function comprises an identity function; andthe instructions for generating the local feature profile comprise determining an identity of the individual from the generated local feature profile. 38. The biometric sensor recited in claim 28 wherein: the biometric function comprises a demographic function; andthe instructions for generating the local feature profile comprise estimating a demographic characteristic of the individual from the generated local feature profile. 39. The biometric sensor recited in claim 28 wherein: the biometric function comprises an anthropometric function; andthe instructions for generating the local feature profile comprise estimating an anthropometric characteristic of the individual from the generated local feature profile. 40. The biometric sensor recited in claim 28 further comprising an imaging detector, wherein: the detection subsystem comprises the imaging detector and is configured to receive light scattered from the small-area of the finger at the imaging detector. 41. The biometric sensor recited in claim 40 wherein: the detection subsystem is configured to receive light scattered from the small-area of the finger at a surface plane of the imaging detector. 42. The biometric sensor recited in claim 40 further comprising: a sensor platen comprising a surface plane;an imaging detector disposed outside the surface plane of the sensor platen; andan optical arrangement configured to translate a pattern of light from the surface plane of the sensor platen to the imaging detector without substantial degradation or attenuation of the pattern of light,wherein the detection subsystem comprises the imaging detector and is configured to receive the translated pattern of light at the imaging detector. 43. The biometric sensor recited in claim 40 wherein: the imaging detector is a monochromatic imaging detector. 44. The biometric sensor recited in claim 40 wherein: the imaging detector is a color imaging detector. 45. The biometric sensor recited in claim 28 wherein the illumination light is white light. 46. The biometric sensor recited in claim 28 wherein the illumination subsystem is disposed to illuminate the small-area of the finger under a plurality of distinct optical conditions. 47. The biometric sensor recited in claim 46 wherein the plurality of distinct optical conditions comprises a plurality of distinct polarization conditions. 48. The biometric sensor recited in claim 46 wherein the plurality of distinct optical conditions comprises white light under a plurality of distinct wavelengths. 49. The biometric sensor recited in claim 46 wherein the instructions for generating the local feature profile from the received light comprise: instructions for generating a plurality of images, each of the plurality of images corresponding to one of the distinct optical conditions; andinstructions for applying a compositing algorithm to the plurality of images. 50. The biometric sensor recited in claim 46 wherein the reference local feature profile was further generated by: generating a composite reference image from a plurality of images, each of the plurality of images corresponding to a previously imaged small-area reference skin site. 51. The biometric sensor recited in claim 46 wherein the plurality of distinct optical conditions comprises light having a plurality of different wavelengths. 52. The biometric sensor recited in claim 51 wherein the instructions for generating the local feature profile comprise: instructions for generating a plurality of images corresponding to the different wavelengths; andinstructions for performing a spatial moving-window analysis of at least a portion of the plurality of images. 53. The biometric sensor recited in claim 52 wherein the instructions for performing the spatial moving-window analysis comprise calculating a moving-window Fourier transform on the plurality of images. 54. The biometric sensor recited in claim 52 wherein the instructions for performing the spatial moving-window analysis comprise calculating a moving-window centrality measure and a moving-window variability measure of the plurality of images. 55. The biometric sensor recited in claim 28 wherein the computational unit further has instructions for comparing spectral features of the received light with reference spectral features in performing the biometric function. 56. The biometric sensor recited in claim 28 wherein an exposed surface of the sensor has an area less than 0.75 cm2. 57. The biometric sensor recited in claim 28 wherein an exposed surface of the sensor has an area less than 0.5 cm2. 58. The biometric sensor recited in claim 28 wherein an exposed surface of the sensor has an area less than 0.25 cm2. 59. The biometric sensor recited in claim 28 wherein an exposed surface of the sensor has an area less than 0.1 cm2. 60. The biometric sensor recited in claim 28 wherein an exposed surface of the sensor has an area less than 0.05 cm2. 61. The biometric sensor recited in claim 28 wherein an exposed surface of the sensor has an area less than 0.01 cm2. 62. The biometric sensor recited in claim 28 wherein the sensor is substantially a point sensor.
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