WO2013142516A1 - Dermatoglyphic hand sensor - Google Patents
Dermatoglyphic hand sensor Download PDFInfo
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- WO2013142516A1 WO2013142516A1 PCT/US2013/033008 US2013033008W WO2013142516A1 WO 2013142516 A1 WO2013142516 A1 WO 2013142516A1 US 2013033008 W US2013033008 W US 2013033008W WO 2013142516 A1 WO2013142516 A1 WO 2013142516A1
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- hand
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- positioning
- optical
- imaging sensor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
- G06V40/1324—Sensors therefor by using geometrical optics, e.g. using prisms
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/143—Sensing or illuminating at different wavelengths
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/40—Spoof detection, e.g. liveness detection
Definitions
- This application relates generally to biometrics. More specifically, this application relates to methods and systems for performing biometric measurements.
- Biometrics refers generally to the statistical analysis of characteristics of living bodies.
- One category of biometrics includes “biometric identification,” which commonly operates under one of two modes to provide automatic identification of people or to verify purported identities of people.
- Biometric sensing technologies measure the physical features or behavioral characteristics of a person and compare those features to similar prerecorded measurements to determine whether there is a match.
- Physical features that are commonly used for biometric identification include faces, irises, hand geometry, vein structure, and fingerprint patterns, which is the most prevalent of all biometric-identification features.
- Current methods for analyzing collected fingerprints include optical, capacitive, radio- frequency, thermal, ultrasonic, and several other less common techniques.
- TIR total internal reflectance
- a map of the differences in TIR across the region where the finger is touching the platen forms the basis for a conventional optical fingerprint reading.
- Optical fingerprint readers are particularly susceptible to image quality problems due to non-ideal conditions. If the skin is overly dry, the index match with the platen will be compromised, resulting in poor image contrast. Similarly, if the finger is very wet, the valleys may fill with water, causing an optical coupling to occur all across the fingerprint region and greatly reducing image contrast. Similar effects may occur if the pressure of the finger on the platen is too little or too great, the skin or sensor is dirty, the skin is aged and/or worn, or overly fine features are present such as may be the case for certain ethnic groups and in very young children. These effects decrease image quality and thereby decrease the overall performance of the fingerprint sensor.
- optical fingerprint readers incorporate a thin membrane of soft material such as silicone to help mitigate these effects and restore performance.
- the membrane is subject to damage, wear, and contamination, limiting the use of the sensor without maintenance.
- Optical fingerprint readers such as those based on TIR, as well as other modalities such as capacitance, RF, and others, typically produce images that are affected to some degree by the nonideal imaging conditions present during acquisition. An analysis of the textural characteristics of the resulting images is thus affected by the sampling conditions, which may limit or obscure the ability to observe the textural characteristics of the person's skin. The consequence of this is that texture is of limited utility in such sensing modalities.
- Embodiments of the invention provide methods and systems for performing a biometric function.
- a means is provided for positioning a hand of an individual in a substantially repeatable manner.
- An optical direct-imaging sensor is disposed relative to the means for positioning to image a portion of the hand when the hand is positioned by the means for positioning.
- a computational unit in communication with the optical direct-imaging sensor has instructions to operate the optical direct-imaging sensor to generate an image of the portion of the hand, and instructions to perform the biometric function with the generated image.
- the optical direct-imaging sensor may comprise a multispectral sensor, an optical topographic sensor, or another type of direct-imaging sensor in different embodiments.
- the hand may or may not be in contact with the optical direct-imaging sensor when the hand is positioned by the means for positioning.
- the biometric function may comprise identifying the individual or verifying the identity of the individual in different embodiments.
- the biometric function may further comprise spoof detection.
- the means for positioning comprises a surface and at least one locating device to be contacted by the hand when the hand is positioned by the means for positioning.
- the portion of the hand may comprise a volar interdigital region of a palm of the hand.
- Instructions to perform the biometric function may comprise instructions to compare the generated image with an enrollment image.
- the enrollment image might comprise an image showing a greater portion of the hand than the generated image, such as in embodiments where the enrollment image was formed as a combination of a plurality of images.
- the biometric function may include spoof detection.
- Spoof detection relates to attempts to defeat a biometric sensor through presentation of a spoof sample.
- Various methods for overcoming such attempts are described in U.S. Patent No. 7,801,339, which is incorporated by reference herein.
- Fig. 1A provides an example of a typical handprint image
- Fig. IB provides a closeup of a handprint showing some of the dermatoglyphic detail in the interdigital region
- FIGs. 2A and 2B provide a front views of biometric sensors in different embodiments of the invention.
- FIG. 2C provides an illustration of a structure for a Bayer color filter array, which may be used in embodiments of the invention
- Fig. 2D is a graph showing color response curves for a Bayer color filter array like that illustrated in Fig. 2C;
- FIG. 3 is a schematic representation of a computer system that may be used to manage functionality of biometric sensors in accordance with embodiments of the invention
- Fig. 4A illustrates a mechanism for repeatably positioning a hand using a locating device
- Fig. 4B is an example of a system that includes a positioning system like that shown in Fig. 4A and includes a biometric sensor like those shown in Figs. 1A or IB;
- FIGs. 4C and 4D illustrate a biometric sensor system that uses multiple sensors in accordance with the present invention.
- Fig. 5 is a flowchart that provides a summary of methods of the invention.
- Embodiments of the invention provide methods and systems that allow for optical imaging and processing of dermatoglyphic features of the volar surface of the hand to perform a biometric function.
- the methods and systems are configured to acquire dermatoglyphic features of a portion of the hand that is typically dense with relevant features.
- a mechanism may be included for repeatably locating the hand such that substantially the same portion of the volar surface of the hand is presented to the sensor during each measurement session.
- methods may be included for compensating for residual position error.
- TIR frustrated total internal reflectance
- rf radio-frequency
- embodiments of the invention make use of optical direct-imaging techniques such as multispectral imaging and optical topographic imaging.
- Multispectral-imaging techniques are described more fully in commonly assigned U.S. Pat. No. 7,147,153, entitled “MULTISPECTRAL BIOMETRIC SENSOR,” the entire disclosure of which is incorporated herein by reference for all purposes.
- Optical topographic imaging techniques are described more fully in commonly assigned U.S. Patent Application Serial No. 13/443,534, entitled “OPTICAL TOPOGRAPHIC IMAGING (U.S. Patent Application Publication No. US-2012/0257046 Al),” filed on April 10, 2012, the entire disclosure of which is also incorporated herein by reference for all purposes.
- Embodiments of the invention make particular use of optical direct-imaging sensors that are small relative to the size of a typical human hand. Such a size may advantageously satisfy a variety of cost constraints, packaging constraints, and other such considerations. There are notably particular challenges that arise when the biometric sensing area is small relative to the area being imaged.
- the region of the hand or other body part being imaged preferably contains sufficient biometric information to provide reliable and distinct identifying information across a population of users.
- the same region of the hand or other body part that is used for enrollment with the system should be repeatably and reliably presented to the sensing surface for dermatoglyphic image acquisition and subsequent identification or verification of identity.
- volar interdigital regions of the human palm that lie in close proximity between the metacarpals and the proximal phalanges typically contain dermatoglyphic features similar to those on fingertips. These features include friction ridges with endings, bifurcations, and patterns such as triradii (deltas), loops, and the like.
- the interdigital regions tend to lie closer to the surface than other portions of the generally concave palm.
- the invention can be used for spoof detection.
- the ability to discriminate between legitimate and spoof presentations of a skin site according to embodiments of the invention is based on differences in the combined spatial and spectral properties of living skin sites when compared with spoofs.
- skin is a complex organ made up of multiple layers, various mixtures of chemicals, and distinct structures such as hair follicles, sweat glands, and capillary beds.
- the outermost layer of skin, the epidermis is supported by the underlying dermis and hypodermis.
- the epidermis itself may have five identified sublayers that include the stratum corneum, the stratum lucidum, the stratum granulosum, the stratum spinosum, and the stratum germinativum.
- the skin below the top-most stratum corneum has some characteristics that relate to the surface topography, as well as some characteristics that change with depth into the skin.
- the dermis While the blood supply to skin exists in the dermal layer, the dermis has protrusions into the epidermis known as "dermal papillae," which bring the blood supply close to the surface via capillaries. In the volar surfaces of the fingers, this capillary structure follows the structure of the friction ridges on the surface. In other locations on the body, the structure of the capillary bed may be less ordered, but is still characteristic of the particular location and person. As well, the topography of the interface between the different layers of skin is quite complex and characteristic of the skin location and the person.
- spoofs may sometimes be made with considerable complexity, the structure of skin remains much more complex in both its spectral and spatial properties.
- spoofs have much simpler spectral properties and their spatial texture tends to be uniform with spectra.
- skin sites which provide complex spectral properties in combination with a complex interplay between spatial texture and optical spectra, with nonuniformities existing in a spatial sense in addition to a spectral sense.
- chromatic texture This is an extension of the concept of "image texture,” which refers generally to any of a large number of metrics that describe some aspect of a spatial distribution of tonal characteristics of an image.
- textures such as those commonly found in fingerprint patterns or wood grain
- “Chromatic texture” extends this concept as a statistical distribution that is additionally a function of illumination wavelength, illumination angle, polarization condition and/or other changes in optical conditions within and between a plurality of images acquired during a measurement session. Certain statistical moments such as mean, variance, skew, and kurtosis may be used in quantitative descriptions of texture. Additionally or alternatively, certain other image features may be generated from the image data such as Fourier spatial frequency amplitudes and phases, wavelet magnitudes and phases, temporal changes of spectral content across the plurality of images acquired during a measurement session, and the like.
- Chromatic texture may be manifested by variations in pixel intensities at different spectral frequencies across an image, which may be used in embodiments of the invention to identify spoofs in biometric applications.
- Chromatic texture information may be acquired in embodiments of the invention by collecting an image of a purported skin site under multispectral conditions.
- Fig. 1A illustrates a typical handprint image, generated in this instance with ink and paper. Since the hand is naturally nonplanar and somewhat concave, major portions of the hand do not touch the surface when the hand is in a relaxed configuration. In contrast, however, it is evident from Fig. 1A that the interdigital region is naturally close to the flat surface and actually touching in major portions, making this region well suited to imaging of dermatoglyphic features.
- Fig. IB shows a close-up of another handprint and demonstrates the level of dermatoglyphic detail that exists in the interdigital region, notably having a level of detail similar to what exists at the more conventional fingertip regions of the hand.
- this print was made using ink and paper, so many areas of the interdigital region that are not in direct contact with the surface did not contribute to the image, but similar detail extends beyond the contours of the inked image.
- the optical direct-imaging techniques used in embodiments of the invention including the multispectral imaging and optical topographic imaging techniques, are also advantageously not constrained to imaging portions of the hand that are in contact with a surface, enabling access to dermatoglyphic detail that is inaccessible to conventional imaging techniques.
- multispectral is defined in terms of the data that may be collected during a single illumination session, with the set of all images collected under a plurality of distinct optical conditions during such a session being referred to as "multispectral data.”
- the different optical conditions may include differences in polarization conditions, differences in illumination angle, differences in imaging angle, and differences in illumination wavelength, differences in the time that images are acquired, among other differences in optical conditions.
- FIG. 2A shows a front view of a multispectral biometric sensor 201, which comprises an illumination subsystem 223 having one or more light sources 203 and a detection subsystem 225 with an imager 217.
- the figure depicts an embodiment in which the illumination subsystem 223 comprises a plurality of illumination subsystems 223a and 223b, but the invention is not limited by the number of illumination or detection subsystems 223 or 225.
- the number of illumination subsystems 223 may conveniently be selected to achieve certain levels of illumination, to meet packaging requirements, and to meet other structural constrains of the multispectral biometric sensor 201.
- Illumination light passes from the source 203 through illumination optics 205 that shape the illumination to a desired form, such as in the form of flood light, light lines, light points, and the like.
- the illumination optics 205 are shown for convenience as consisting of a lens but may more generally include any combination of one or more lenses, one or more mirrors, and/or other optical elements.
- the illumination optics 205 may also comprise a scanner mechanism (not shown) to scan the illumination light in a specified one-dimensional or two-dimensional pattern.
- the light source 203 may comprise a point source, a line source, an area source, or may comprise a series of such sources in different embodiments.
- the illumination light is provided as polarized light, such as by disposing a linear polarizer 207 through which the light passes before striking a skin site of the person being studied.
- the drawing shows a surface 219 through which light may pass in being directed to the skin site, but it is to be understood that such a surface may or may not be included in different embodiments.
- Techniques for reliable presentation of the skin site to the sensor are described below, and while such techniques may include a surface on which the hand is placed, this is not a necessary constraint of the invention. More generally, any reliable presentation technique may be used, including, for example, a technique that constrains a position of the hand without providing a volar-surface support for the hand.
- the light source 203 may comprise one or more quasimonochromatic sources in which the light is provided over a narrow wavelength band.
- quasimonochromatic sources may include such devices as light-emitting diodes, laser diodes, or quantum-dot lasers.
- the light source 203 may comprise a broadband source such as an incandescent bulb or glow bar.
- the illumination light may pass through a bandpass filter 209 to narrow the spectral width of the illumination light.
- the bandpass filter 209 comprises one or more discrete optical bandpass filters.
- the bandpass filter 209 comprises a continuously variable filter that moves rotationally or linearly (or with a combination of rotational and linear movement) to change the wavelength of illumination light.
- the bandpass filter 209 comprises a tunable filter element such as a liquid-crystal tunable filter, an acousto-optical tunable filter, a tunable Fabry-Perot filter, or other filter mechanism known to one knowledgeable in the art.
- the light from the light source 203 passes through the illumination optics 205, and optionally the optical filter 209 and/or polarizer 207, it passes directly to the skin site, perhaps through a surface 219.
- the sensor layout and components may advantageously be selected to minimize the amount of light reflected from surface 219 due to Fresnel reflection, scattering, and other such effects and subsequently seen by detection optics 215.
- such surface reflections are reduced by relatively orienting the illumination subsystem 223 and detection subsystem 225 such that the amount of surface reflected light detected is minimized.
- the optical axes of the illumination subsystem 223 and the detection subsystem 225 may be placed at angles such that a mirror placed at the position of surface 219 does not direct an appreciable amount of illumination light into the detection subsystem 225.
- the optical axes of the illumination and detection subsystems 223 and 225 may be placed at angles with respect to surface 219 such that the angle between each of the respective optical axes and the surface 219 normal is less than the optical critical angle of the system.
- optical polarizers Both linear and circular polarizers can be employed advantageously to make the optical measurement more sensitive to certain skin depths, as known to one familiar in the art.
- the illumination light is polarized by linear polarizer 207.
- the detection subsystem 225 may then also include a linear polarizer 213 that is arranged with its optical axis substantially orthogonal to the illumination polarizer 207. In this way, light from the sample must undergo multiple scattering events to significantly change its state of polarization. Such events occur when the light penetrates the surface of the skin and is scattered back to the detection subsystem 225 after many scatter events.
- polarizer 207 or polarizer 213 or both may be omitted from the system.
- a polarizer 213 may be used in the detection subsystem 225 and multiple illumination subsystems 223 may variously include or exclude polarizers 207, resulting in images taken under distinctly different polarization conditions, as well as perhaps different illumination geometries, wavelengths, and other optical differences of the sort.
- the detection subsystem 225 may incorporate detection optics that comprise lenses, mirrors, and/or other optical elements that form an image of the skin site onto the imager 217.
- the detection optics 215 may also comprise a scanning mechanism (not shown) to relay portions of the skin-site region onto the imager 217 in sequence.
- the detection subsystem 225 is configured to be sensitive to light that has illuminated the skin and either been reflected from the surface of the skin or undergone optical scatter within the skin and/or underlying tissue before exiting the skin.
- the illumination subsystem 223 and detection subsystem 225 may be configured to operate in a variety of optical regimes and at a variety of wavelengths.
- One embodiment uses light sources 203 that emit light substantially in the region of 400 - 1000 nm; in this case, the imager 217 may be based on silicon detector elements or other detector material known to those of skill in the art as sensitive to light at such wavelengths.
- the light sources 203 may emit radiation at wavelengths that include the near-infrared regime of 1.0 - 2.5 ⁇ , in which case the imager 217 may comprise elements made from InGaAs, InSb, PbS, MCT, and other materials known to those of skill in the art as sensitive to light at such wavelengths.
- the system may use white light, with relevant considerations to such embodiments discussed below.
- the multispectral biometric sensor 251 comprises a broadband illumination subsystem 273 and a detection subsystem 275.
- a broadband illumination subsystem 273 As for the embodiment described in connection with Fig. 2A, there may be multiple illumination subsystems 273 in some embodiments, with Fig. 2B showing a specific embodiment having two illumination subsystems 273.
- a light source 253 comprised by the illumination subsystem 273 is a broadband illumination source such as an incandescent bulb or a glowbar, or may be any other broadband illumination source known to those of skill in the art.
- Light from the light source 253 passes through illumination optics 255 and, optionally, a linear polarizer 257, and may optionally pass through a bandpass filter 259 used to limit the wavelengths of light over a certain region.
- the light may or may not pass through a surface 269 depending on the mechanism used for reliable presentation of the skin site into which it is directed.
- a portion of the light is reflected from the skin (surface and diffuse) into the detection subsystem 275, which comprises imaging optics 265 and 271, an optional crossed linear polarizer 261, and a dispersive optical element 263.
- the dispersive element 263 may comprise a one- or two- dimensional grating, which may be transmissive or reflective, a prism, or any other optical component known in the art to cause a deviation of the path of light as a function of the light's wavelength.
- the first imaging optics 271 acts to collimate light reflected from the skin for transmission through the crossed linear polarizer 261 and dispersive element 263. Spectral components of the light are angularly separated by the dispersive element 263 and are separately focused by the second imaging optics 265 onto an imager 267.
- the polarizers 257 and 261 respectively comprised by the illumination and detection subsystems 273 and 275 act to reduce the detection of directly reflected light at the detector 317.
- the multispectral image generated from light received at the detector is thus a "coded” image in the manner of a computer tomographic imaging spectrometer ("CTIS"). Both wavelength and spatial information are simultaneously present in the resulting image.
- CTIS computer tomographic imaging spectrometer
- Both wavelength and spatial information are simultaneously present in the resulting image.
- the individual spectral patterns may be obtained by mathematical inversion or "reconstruction" of the coded image.
- the imager 217 or 267 may comprise a Bayer color filter array in which filter elements corresponding to a set of primary colors are arranged in a Bayer pattern.
- An example of such a pattern is shown in Fig. 2C for an arrangement that uses red 282, green 286, and blue 284 color filter elements.
- the detector subsystem 225 or 275 may additionally comprise an infrared filter (not shown) disposed to reduce the amount of infrared light detected. As seen from the color response curve for a typical Bayer filter array shown in Fig. 2D, there is generally some overlap in the spectral ranges of the red 292, green 294, and blue 296 transmission characteristics of the filter elements.
- the filter array may allow the transmission of infrared light. This is avoided with the inclusion of an infrared filter as part of the detector subsystem.
- the infrared filter may be omitted and one or more light sources that emit infrared light may be incorporated. In this way, all color filter elements 282, 284, and 286 may allow the light to substantially pass through, resulting in an infrared image across the entire imager.
- Fig. 3 Management of the functionality of the biometric sensor may be performed with a computer system such as illustrated in Fig. 3.
- the arrangement shown in Fig. 3 includes a number of components that may be appropriate for a larger system; smaller systems that are integrated with biometric sensor 356 itself may use fewer of the components.
- Fig. 3 broadly illustrates how individual system elements may be implemented in a separated or more integrated manner.
- the computational device 300 is shown comprised of hardware elements that are electrically coupled via bus 326.
- the hardware elements include a processor 302, an input device 304, an output device 306, a storage device 308, a computer-readable storage media reader 310a, a communications system 314, a processing acceleration unit 316 such as a DSP or special-purpose processor, and a memory 318.
- the computer-readable storage media reader 310a is further connected to a computer-readable storage medium 310b, the combination comprehensively representing remote, local, fixed, and/or removable storage devices plus storage media for temporarily and/or more permanently containing computer- readable information.
- the communications system 314 may comprise a wired, wireless, modem, and/or other type of interfacing connection and permits data to be exchanged with external devices.
- the computational device 300 also comprises software elements, shown as being currently located within working memory 320, including an operating system 324 and other code 322, such as a program designed to implement methods of the invention. It will be apparent to those skilled in the art that substantial variations may be used in accordance with specific requirements. For example, customized hardware might also be used and/or particular elements might be implemented in hardware, software (including portable software, such as applets), or both. Further, connection to other computing devices such as network input/output devices may be employed.
- the hand is preferably positioned relative to the biometric sensor such that substantially the same portion of skin as used for matching is within the sensor's field of view.
- One aspect of the invention illustrated in Figs. 4A and 4B provides for repeatable positioning by locating the index and middle fingers using a mechanical stop 400.
- mechanical stop 400 is located just at the edge of the sensing area 420 of sensor 410.
- mechanical stop 400 may protrude into the sensing area 420 such that the proximity of the fingers to the mechanical stop 400 may be determined from one or more images acquired with detecting subsystem 410. In this way, proper positioning of the fingers may be determined automatically and used to initiate an acquisition sequence and/or provide guidance for proper hand placement.
- Fig. 4B is a photograph of a system that uses a positioning system like that shown in Fig. 4A. It is emphasized that the illustrated size and placement of the biometric sensor 410 are exemplary, and that other sizes and/or or placements are also within the intended scope of the invention. Also within the scope of the invention is the incorporation of a plurality of small biometric sensors at different positions beneath the hand to acquire images from a plurality of different portions of the interdigital region.
- FIGs. 4C and 4D show a biometric sensor system 450 incorporating a number of small biometric sensors 452 in accordance with an alternative implementation of the present invention.
- Fig. 4C is a top view showing a platen 454 and a mechanical stop 456 for positioning a subject's hand 458 with respect to the platen 454.
- the system 450 includes a number of sensing areas 460 positioned for acquiring biometric information for the volar interdigital regions of the human palm. Although five sensing areas 460 arranged in a linear array are shown for purposes of illustration, a different number of sensing areas in a different pattern may be utilized.
- Fig. 4D is a schematic diagram of the biometric sensor system 450.
- the system 450 may be, for example, a multispectral biometric sensor system as described above in connection with Figs. 2A and 2B.
- there may be multiple illumination subsystems in some embodiments with Fig. 4D showing a specific embodiment having two illumination subsystems 462. In other embodiments, there may be one or more illumination subsystems 462 per sensor 452.
- Each of these illumination subsystems may include one or more light sources (e.g., broadband or quasimonochromatic), optics, filters, polarizers and other components as discussed above, and provides illumination that may be focused, collimated, or diverging depending on the particular system implementation.
- the illumination is received by a detection subsystem 464 that includes the sensors 452.
- the detection subsystem 464 may further include imaging optics, a polarizer, dispersive optical elements and other components for conditioning illumination for the sensors 452.
- Fig. 5 provides a summary of methods of the invention.
- the skin site of an individual is enrolled in a biometric database. Residual positioning errors in subsequent attempts to perform biometric functions using enrolled skin sites can be addressed in some embodiments as follows. Such residual positioning errors will depend on the exact design of the positioning system, particularly the field of view of the biometric sensor, as well as on other aspects of the environment in which the system operates. In one embodiment, compensation is made for such error by forming the enrollment data from multiple images taken over multiple placements of the hand in the positioning apparatus. This may be done during a single short period of time, i.e. the enrollment session, or may take place over a more extended time interval.
- an approximation of the full range of positions under which enrollment images are acquired encompass the range of positions of the hand during subsequent usage.
- the enrollment image may be acquired using the methods of the present invention.
- the enrollment data may be acquired using other means such as ink and paper, other optical methods such as those based on total internal reflectance, and other means known in the art.
- the hand of an individual is positioned over the sensor and within the positioning system as part of making a measurement to perform a biometric function.
- the skin site is illuminated at block 512 and light scattered from the skin site is received at block 516. .
- the received light and/or other feedback may be analyzed to detect hand position at block 510.
- the proximity of the fingers to the stop may be determined from the image or images.
- a comparison of the imaged skin site is made with the database at block 520 so that the biometric function of identifying the individual or verifying the individual's identity, and/or spoof detection may be performed at block 524.
- enrollments that comprise multiple images may be used for matching in a variety of ways.
- the current dermatoglyphic image may be matched with each of the enrollment images separately. The most similar match of those may then be used for identity determination.
- the N best matches, the mean match, the median match, or other such operations may be used for identity determination.
- multiple separate enrollment images may be combined together to form a single enrollment image that includes more of the skin area than any of the individual images.
- Such an image generation may be performed, for instance, by using photo stitching techniques similar to those known in the art for creating panorama photos from a collection of smaller overlapping photos.
- enrollment information may be updated continuously during use or during certain prescribed times. Such updating can be accomplished in instances where a match has been determined but where the present image spans a portion of skin that lies beyond the range currently contained in the enrollment dataset. In such cases, the current image may be included in the dataset as either another individual image or as an additional image that is photo-stitched into the composite enrollment image.
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Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
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EP13764388.8A EP2828799A1 (en) | 2012-03-19 | 2013-03-19 | Dermatoglyphic hand sensor |
US14/226,600 US20140233810A1 (en) | 2007-06-11 | 2014-03-26 | Dermatoglyphic hand sensor |
Applications Claiming Priority (2)
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US201261612775P | 2012-03-19 | 2012-03-19 | |
US61/612,775 | 2012-03-19 |
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US13/034,660 Continuation-In-Part US8781181B2 (en) | 2006-07-19 | 2011-02-24 | Contactless multispectral biometric capture |
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US14/226,600 Continuation US20140233810A1 (en) | 2007-06-11 | 2014-03-26 | Dermatoglyphic hand sensor |
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WO2013142516A1 true WO2013142516A1 (en) | 2013-09-26 |
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PCT/US2013/033008 WO2013142516A1 (en) | 2007-06-11 | 2013-03-19 | Dermatoglyphic hand sensor |
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WO2017172185A1 (en) * | 2016-03-31 | 2017-10-05 | Intel Corporation | Sensor signal processing to determine finger and/or hand position |
US10638316B2 (en) | 2016-05-25 | 2020-04-28 | Intel Corporation | Wearable computer apparatus with same hand user authentication |
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2013
- 2013-03-19 EP EP13764388.8A patent/EP2828799A1/en not_active Withdrawn
- 2013-03-19 WO PCT/US2013/033008 patent/WO2013142516A1/en active Application Filing
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US20100113952A1 (en) * | 2008-11-03 | 2010-05-06 | Raguin Daniel H | Apparatus and method for the identification of fake fingerprints |
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WO2017172185A1 (en) * | 2016-03-31 | 2017-10-05 | Intel Corporation | Sensor signal processing to determine finger and/or hand position |
US10503253B2 (en) | 2016-03-31 | 2019-12-10 | Intel Corporation | Sensor signal processing to determine finger and/or hand position |
US10638316B2 (en) | 2016-05-25 | 2020-04-28 | Intel Corporation | Wearable computer apparatus with same hand user authentication |
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