Abstract: A pixel circuit, a display panel, and a driving method. The pixel circuit includes a data writing circuit, an ultrasonic acquiring and converting circuit, a storage circuit, a driving circuit, an output control circuit, and a light emitting device. The ultrasonic acquiring and converting circuit converts a received ultrasonic signal into a converted electrical signal, and provides the converted electrical signal to the data writing circuit; the data writing circuit provides the converted electrical signal or a data signal to a first node; the driving circuit provides a recognition signal obtained according to the converted electrical signal or a driving signal to the fourth node; the storage circuit maintains a voltage difference between the first node and the second node stable; the output control circuit provides a level of the fourth node to a third node; the third node outputs the recognition signal.

Abstract: A surface texture recognition sensor, a surface texture recognition device and a surface texture recognition method thereof, and a display device are disclosed. The surface texture recognition sensor is configured to recognize a ridge and a valley of a surface, and includes: a first dielectric layer and a second dielectric layer which overlap with each other; a light source which is configured to emit light into the first dielectric layer; and a photosensitive detector which is at a side of the second dielectric layer away from the first dielectric layer. The light emitted from the light source is incident onto the interface with an incident angle; with the recognition unit being in contact with the surface, refractive index of at least one of the first dielectric layer and the second dielectric layer is changed to allow a critical angle of total reflection to be changed.

Abstract: The present disclosure provides an image sensing apparatus, including: a substrate; a plurality of pixels disposed in an array on the substrate, wherein each pixel includes a first photosensitive element and a pixel switch, and the first photosensitive element is configured to generate a first electrical signal including signal light information and ambient light information; and an environment sensor including at least one second photosensitive element, wherein the at least one second photosensitive element is configured to generate a second electrical signal including ambient light information. The image sensing apparatus according to embodiments of the present disclosure can effectively eliminate the influence of ambient light on the image capturing and improve the imaging quality.

Abstract: The present disclosure relates to methods and devices for fingerprint recognition. In an aspect, a method of a fingerprint sensing system of extracting at least one fingerprint descriptor from an image captured by a fingerprint sensor for enrolment in the fingerprint sensing system is provided. The method comprises capturing images of a finger contacting the fingerprint sensor, detecting at least one fingerprint feature in each captured image, extracting fingerprint data from an area surrounding a location of the detected feature in each captured image, and extracting a fingerprint descriptor by performing a transform of the fingerprint data extracted from the area surrounding the location of the detected feature in each captured image, wherein a size of the area is selected such that the area comprises sufficient information to allow a duplicated descriptor to be discarded for the captured images.

Abstract: A method of controlling operation of a field-powered biometric device comprising biometric acquisition circuitry, processing circuitry controllable to transition between a first functional state having a first power consumption and a second functional state having a second power consumption lower than the first power consumption, and power management circuitry. The method comprises the steps of monitoring, by the power management circuitry, a property indicative of a supply voltage to the processing circuitry; controlling, when the monitored property indicates that the supply voltage has fallen to a first threshold voltage, the processing circuitry to transition from the first functional state to the second functional state; and controlling, when the monitored property indicates that the supply voltage has increased to a second threshold voltage higher than the first threshold voltage, the processing circuitry to transition from the second functional state to the first functional state.

Abstract: The present disclosure provides an optical fingerprint sensor and a display module. The optical fingerprint sensor includes a photodiode and a switching thin film transistor connected to the photodiode, in which the photodiode includes a first electrode made of a light-absorbing conductive nano-material; the first electrode is located in a same layer as a second electrode of the switching thin film transistor, and the first electrode includes a light-entering end surface facing a light-entering side and a side surface connected to the light-entering end surface, the side surface includes a curved portion, and the second electrode is at least connected to the curved portion.

Abstract: This application provides a fingerprint collection apparatus. According to the fingerprint collection method and the related apparatus that are provided in this application, a sensor array is divided into a plurality of areas in terms of a column based on a quantity of input ports of an analog front end component and a quantity of columns of the sensor array, and sensor units in different areas multiplex input channels of the analog front end component by using switches. In this way, when scanning row scanning lines in the sensor array, a row scanning circuit may control the switches to output, to the analog front end component in a time division manner, original fingerprint data collected by the sensor units in the different areas, so that fewer input channels of the analog front end component can be required, and a size of a fingerprint collection apparatus can be reduced.

Abstract: An electronic device according to various embodiments of the present invention comprises: a touch sensor; a fingerprint sensor that is formed in at least a partial area of the touch sensor and is capable of obtaining fingerprint information about an external object; and a processor, wherein the processor may be configured to: sense the movement of the external object by using the touch sensor while sensing the fingerprint information; when the movement satisfies a first designated condition, perform authentication on the external object by using the fingerprint information; and when the movement satisfies a second designated condition, stop the operation of sensing the fingerprint information and provide information related to the movement.

Abstract: A fingerprint and proximity sensing apparatus for fingerprint recognizing and proximity sensing is provided. The fingerprint and proximity sensing apparatus includes a display panel, a fingerprint sensor, and at least one proximity sensing light emitting diode. The fingerprint sensor has an optical sensing array. The optical sensing array is configured to receive a first light emitted from the display panel and a second light emitted from the at least one proximity sensing light emitting diode at different time periods. The first light and the second light have different ranges of wave length. A sensing process is also provided.

Abstract: Aspects of the present disclosure include methods for generating a sampled profile including a plurality of sampling points having a plurality of characteristic values associated with the detected non-visible light, identifying one or more macroblocks each includes a subset of the plurality of sampling points, calculating a number of occurrences of the local pattern value within each subset of the plurality of the sampling points for each of the one or more macroblocks, generating a first array including a plurality of weighted values by calculating the plurality of weighted values based on the numbers of occurrences of the local pattern value and corresponding sizes of the one or more macroblocks, assigning a unique index to each of the plurality of weighted values, generating a second array of the unique index by ranking the plurality of weighted values, and generating a third array including a plurality of ranking distances.

Abstract: A texture recognition device and a driving method of a texture recognition device (100) are provided. The texture recognition device has a touch side, and includes: a light source array, an image sensor array and a light valve structure; the image sensor array is configured to receive light emitted from the light source array and then reflected to the image sensor array by a texture for a texture image collection; the light valve structure is disposed on a side of the light source array close to a touch side and is configured to control a first region to be in a light transmission state in response to a control signal, so as to allow light emitted from the light source array to pass through the first region to form a first photosensitive light source in the light transmission state.

Abstract: An optical device including a first substrate, a light source, a second substrate, an image capturing device, a lens module and a lens holder is provided. The light source outputs a first light beam. The second substrate includes a first surface and a second surface opposite to the first surface and closer to the first substrate. A scattered light beam which is generated by the first light beam entering an object touching the first surface of the second substrate and scattered in the object is a second light beam. The image capturing device receives a third light beam. The third light beam is the second light beam normally incident to the second surface and transmitted to the image capturing device. The lens module focuses the third light beam to be captured by the image capturing device. The lens holder is located between the light source and the image capturing device.

Abstract: Disclosed herein are systems and methods for using machine learning for image-based spoof detection. One embodiment takes the form of a method that includes obtaining an input-data set that includes a plurality of images captured of a biometric-authentication subject by a plurality of cameras of a camera system. The method also includes inputting the input-data set into a trained machine-learning module, and processing the input-data set using the machine-learning module to obtain, from the machine-learning module, a spoof-detection result for the biometric-authentication subject. The method also includes outputting the spoof-detection result for the biometric-authentication subject.

Abstract: In a method for operating a fingerprint sensor comprising a plurality of ultrasonic transducers, a first subset of ultrasonic transducers of the fingerprint sensor are activated, the first subset of ultrasonic transducers for detecting interaction between an object and the fingerprint sensor. Subsequent to detecting interaction between an object and the fingerprint sensor, a second subset of ultrasonic transducers of the fingerprint sensor are activated, the second subset of ultrasonic transducers for determining whether the object is a human finger, wherein the second subset of ultrasonic transducers comprises a greater number of ultrasonic transducers than the first subset of ultrasonic transducers.

Abstract: A fingerprint sensor, a fingerprint recognition module and a fingerprint recognition system. The fingerprint sensor includes: a sensor die configured to collect fingerprint information; a package structure configured to package the sensor die, where the sensor die or the package structure includes a first metal electrode, which is connected with a touch detection module, and the touch detection module is connected with a control module and is configured to feed back a touch signal to the control module, so as to enable the control module to supply power to the fingerprint sensor according to the touch signal, and then enable the sensor die to collect fingerprint information. Under the premise of ensuring low standby power consumption of the fingerprint recognition system, the anti-interference ability and the ESD performance of the fingerprint recognition module are improved, and the flexibility of the touch detection scheme is improved.

Abstract: A fingerprint identification module, a manufacturing method and driving method thereof, and a display device. The fingerprint identification module includes: a driving backplate, including a substrate, identification circuits on the substrate, the identification circuits having a first electrode pad, a second electrode pad; acoustic units including: a first electrode; a piezoelectric film layer positioned on the side, close to the driving backplate, of the first electrode; a second electrode positioned on the side, close to the driving backplate, of the piezoelectric film layer; a first lead-out terminal electrically connected with the first electrode; a second lead-out terminal electrically connected with the second electrode; cavities being in one-to-one correspondence to the acoustic units, the cavities positioned between the second electrodes and the substrate, and one side face, away from the substrate, of cavity being defined by at least one side face, close to the substrate, of the second electrode.

Abstract: Methods and apparatuses are disclosed for assessing pigmentation of skin based on images thereof. In disclosed implementations, a cross-polarized blue image of skin is obtained and processed to extract pigment distribution information. Useful applications include assessing depigmentation, as in the skin condition vitiligo, as well as assessing re-pigmentation such as due to treatment. In addition to the spatial extent of depigmentation, implementations of the present disclosure can also provide the degree of depigmentation. The degree and area of depigmentation can be measured with better accuracy and sensitivity than known techniques.

Abstract: A system, method and computer program product for granting access and/or an authorization are disclosed. For instance, a computer-implemented method may include receiving a first sequence of plurality of biometric data elements. The sequence of plurality of biometric data elements may comprise a biometric passphrase. The method may include registering the biometric passphrase to a known user and/or a transaction account. The method may include receiving a transaction request comprising a second sequence of plurality of biometric data elements. The method may include comparing the second sequence of plurality of biometric data elements to the biometric passphrase to resulting in a confidence factor of the comparison. The comparison may include comparing the sequencing of the second sequence of plurality of biometric data elements and the characteristics of each biometric data element of the second sequence of plurality of biometric data elements to the biometric passphrase.

Abstract: Disclosed are methods and systems for treating epilepsy by stimulating a main trunk of a vagus nerve, or a left vagus nerve, when the patient has had no seizure or a seizure that is not characterized by cardiac changes such as an increase in heart rate, and stimulating a cardiac branch of a vagus nerve, or a right vagus nerve, when the patient has had a seizure characterized by cardiac changes such as a heart rate increase.

Abstract: A fingerprint verification method and apparatus are provided. The fingerprint verification method includes performing a first matching between a fingerprint image and a first registered fingerprint image; based on a result of the first matching, performing a second matching between the fingerprint image and a second registered fingerprint image, the second registered fingerprint image being different from the first registered fingerprint image; and verifying the fingerprint based on the result of the first matching and a result of the second matching.

Abstract: Aspects of the present disclosure include methods for generating a sampled profile including a plurality of sampling points having a plurality of characteristic values associated with the detected non-visible light, identifying one or more macroblocks each includes a subset of the plurality of sampling points, calculating a number of occurrences of the local pattern value within each subset of the plurality of the sampling points for each of the one or more macroblocks, generating a first array including a plurality of weighted values by calculating the plurality of weighted values based on the numbers of occurrences of the local pattern value and corresponding sizes of the one or more macroblocks, assigning a unique index to each of the plurality of weighted values, generating a second array of the unique index by ranking the plurality of weighted values, and generating a third array including a plurality of ranking distances.

Abstract: A biometric analysis structure, method and neural network with coded mask are provided. The biometric analysis structure includes a display panel, a light source, and a sensor. The sensor is disposed on the optical path of light from the light source and reflected by the display panel. The biometric analysis structure includes an coded mask. The coded mask is disposed on the optical path in front of the sensor. the coded mask is represented as a first matrix in a matrix form and the first matrix is a delta function after satisfying an autocorrelation operation. The resulting image can be inversely resolved based on the image of the coded mask. Thus, the security of the fingerprint recognition method is improved, and the thickness of the entire imaging structure is reduced.

Abstract: The present disclosure discloses a method and device for identity authentication. One example method includes retrieving stored fingerprint information for a user including a plurality of recorded fingerprints for the user, each recorded fingerprint associated with a different finger of the user; selecting a subset of the recorded fingerprints to be used to authenticate the user; prompting the user to provide fingerprint information corresponding to each finger associated with a recorded fingerprint in the selected subset; in response to prompting the user, receiving user-provided fingerprint information from the user; matching the user-provided fingerprint information against the selected subset of the recorded fingerprints; and determining that an identity authentication of the user succeeds when the user-provided fingerprint information matches the selected subset of the recorded fingerprints.

Abstract: An under display light field sensor is for sensing a fingerprint or touch on or in proximity to a display panel. The under display light field sensor includes a light-field image sensor and a plurality of micro-lenses on the subarrays of the sensing pixels. The light-field image sensor includes a plurality of subarrays of sensing pixels under the display panel. The sensing pixels in an identical one of the subarrays are configured to capture images of an object on or in proximity to the display panel by sensing lights from different directions. Each of the micro-lenses corresponds to one of the subarrays of the sensing pixels.

Abstract: A fingerprint image acquisition method for user authentication is provided. The method comprises determining whether a sensed pressure, which is applied to a fingerprint input window by a finger of a user touching the fingerprint input window, exceeds a predetermined startup pressure, acquiring a comparison image by imaging a fingerprint of the finger when the sensed pressure exceeds the startup pressure, measuring a quality of the comparison image, determining a value of a threshold pressure based on the quality of the comparison image and acquiring an authentication image for the user by capturing an image of the fingerprint of the finger when the sensed pressure exceeds the threshold pressure.

Abstract: An electronic device and method are disclosed. The electronic device includes a cover glass, a display panel, a fingerprint sensor, and a processor. The processor implements the method, including: obtaining, through a fingerprint sensor, a fingerprint image from an external object contacting a surface of the electronic device, detecting, using a processor, a feature point of the fingerprint image, comparing the detected feature point of the fingerprint image with a feature point of a pre-stored reference image, detecting a variation in a distance between the surface of the electronic device and the fingerprint sensor based on a result of the comparison, and recognizing the fingerprint based on the detected variation in the distance.

Abstract: A display apparatus includes: a display panel configured to display an image; a fingerprint sensor disposed on the display panel and configured to capture a fingerprint image and to generate fingerprint sensing data; and a fingerprint sensor controller configured to generate a compensation characteristic function of each pixel of the fingerprint sensor using a plurality of test patterns, to extract a coefficient of the compensation characteristic function of each pixel and to compensate the fingerprint sensing data using the coefficient of the compensation characteristic function.

Abstract: Various embodiments of the present invention relate to an electronic device comprising a biometric sensor disposed in a display, and the electronic device comprises: a transparent cover; a display module located under the transparent cover, wherein the display module comprises a display layer in which pixels are formed and one or more additional layers formed under the display layer, and an opening is formed in at least a partial region of at least one layer among the one or more layers; a first printed circuit board having a biometric sensor module, which is disposed under the display module and makes contact with the opening; and a second printed circuit board electrically connected to the first printed circuit board and the display module, wherein a pressure sensor module can be disposed in the surrounding region of the biometric sensor module under the display module in the second printed circuit board. In addition, other embodiments are possible.

Abstract: An unlocking method and a mobile terminal are provided. The unlocking method includes: in the case that a mobile terminal is locked, a touch chip determines whether a fingerprint verification operation is detected; in the case that the fingerprint verification operation is detected, the touch chip sends control signals to a central processor and a fingerprint driving chip; the fingerprint driving chip drives, in response to the control signal, a fingerprint sensor to collect fingerprint information, and determines whether the collected fingerprint information matches preset fingerprint information; and if so, the central processor unlocks the mobile terminal in response to a second control signal and a determination result from the fingerprint driving chip.

Abstract: A physiological monitoring system is provided. The physiological monitoring system includes a feature extraction device, an identifier, a processor, a physiological sensing device, and a vital-sign detector. The feature extraction device extracts biological information of an object to generate an extraction signal. The identifier receives the extraction signal and verifies an identity of the object according to the extraction signal. The processor receives the extraction signal and obtains at least one biological feature of the user according to the extraction signal. The physiological sensing device senses a physiological feature to generate a bio-signal. The vital-sign detector estimates vital-sign data of the object according to the bio-signal and the at least one biological feature.

Abstract: A scalable configurable universal complete spectrum concise datasets platform is provided that utilizes measure points from sensor-observation-derived representations or concise datasets in the making of selected cyber determinations regarding or utilizing sensor observations or sensor observation subjects. The platform utilizes necessary resources and predetermined criteria in the making of selected cyber determinations, the platform utilizes measure points and personalized processes in the accurate or reliable locating of selected analytically rich aspects, characteristics or features from sensor-observation-derived representations, wherein appropriate informational representations are assigned to selected analytically rich aspects, characteristics, features, measure points or the sensor observation and stored in concise datasets where they may be utilized in real-time or thereafter in the making of selected cyber determinations regarding or utilizing sensor observations or sensor observation subjects.

Abstract: MEMS ultrasound fingerprint ID systems are provided. Aspects of the systems include the capability of detecting both epidermis and dermis fingerprint patterns in three dimensions. Also provided are methods of making and using the systems, as well as devices that include the systems.

Abstract: An electronic device with fingerprint sensing function including a display panel, a fingerprint sensing module and a supporting frame are provided. The fingerprint sensing module includes a light source and an image sensor. The light source is configured to emit an illuminating light. The supporting frame is disposed between the display panel and the fingerprint sensing module for supporting the display panel. The supporting frame includes a first plane facing the display panel, a second plane facing the fingerprint sensing module, and an oblique through hole between the first plane and the second plane. The illuminating light is guided toward a sensing object above the display panel through the oblique through hole.

Abstract: In a method for adapting a quality threshold for a fingerprint image, a fingerprint image is received. An image quality of the fingerprint image is determined. Provided the image quality of the fingerprint image does not satisfy a quality threshold, the quality threshold is decreased. Provided the image quality of the fingerprint image does satisfy a decreased quality threshold, the fingerprint image is forwarded to a matcher for fingerprint authentication.

Abstract: A method of filtering a fingerprint image is provided. The method includes: receiving an input fingerprint image; preliminarily filtering the input fingerprint image to obtain a preprocessed image; normalizing and then filtering the preprocessed image to obtain a denoised image; filtering and then segmenting the preprocessed image to obtain a background mask; postprocessing the background mask to obtain a final mask; and applying the final mask to the denoised image to obtain an output fingerprint image.

Abstract: The present invention relates to a method for extracting features of interest from a fingerprint represented by an input image, the method being characterized in that it comprises the implementation, by data processing means (21) of a client equipment (2), of steps of: (a) Estimation of at least one candidate angular deviation of an orientation of said input image with respect to a reference orientation, by means of a convolutional neural network, CNN; (b) Recalibration of said input image as a function of said estimated candidate angular deviation, so that the orientation of the recalibrated image matches said reference orientation; (c) Processing said recalibrated image so as to extract said features of interest from the fingerprint represented by said input image.

Abstract: A texture image compensation method, a texture detection method and a device, and an electronic device are provided. The texture detection method includes: performing an image difference calculation on a first texture image acquired by a texture detection device and a foreign object correction image acquired by the texture detection device to compensate foreign object information in the first texture image, and to acquire a second texture image; performing and the texture detection by using the second texture image.

Abstract: A processor-implemented liveness detection method includes: obtaining an initial image using a dual pixel sensor; obtaining a left image and a right image from the initial image; and detecting liveness of an object included in the initial image using the left image and the right image.

Abstract: A storage device includes at least one nonvolatile memory device, a memory controller that controls the at least one nonvolatile memory device, and a fingerprint recognition sensor that recognizes a fingerprint of a user. The at least one nonvolatile memory device includes at least one secure partition area being accessible by a host device when a fingerprint recognized by the fingerprint recognition sensor is the same as an enrolled fingerprint, and a public area being accessible by the host device regardless of a fingerprint recognition operation.

Abstract: A method includes: receiving, in an electronic device having a trackpad, a force signal that a force sensor of the trackpad generates based on a user input at the trackpad; receiving, in the electronic device, a touch signal that a touch sensor of the trackpad generates based on the user input; selecting, by the electronic device and based on at least one of the force signal or the touch signal, a first driver signal waveform from among multiple driver signal waveforms applicable to an actuator coupled to the trackpad; scaling, by the electronic device, the first driver signal waveform into a second driver signal waveform, the scaling based on at least one of the force signal or the touch signal; and generating, by the electronic device, a haptic output in response to the user input by providing the second driver signal waveform to the actuator.

Abstract: A biometric safety holster apparatus for preventing a firearm from being drawn by unwanted persons includes a holster body to receive a firearm while exposing a handle of the firearm above a body top side. A clip is coupled to the holster body to selectively engage a belt or a waistband. An actuator rod is coupled within a body inside to extend through a trigger guard of the firearm when a retractable portion is extended to prevent the firearm from being drawn from the holster body. A battery is coupled to the holster body and is in operational communication with the actuator rod. A biometric fingerprint reader is coupled to the holster body and is in operational communication with the actuator rod to retract the retractable portion and free the firearm.

Abstract: A living body sensor obtains a plurality of living body images along an authentication-target living body, and a shape sensor obtains shape information corresponding to each of the plurality of living body images. A processor determines a position of a part of the authentication-target living body captured in each of the plurality of living body images, according to the shape information corresponding to each of the plurality of living body images. The processor compares a biometric feature of each of the plurality of living body images and a registered biometric feature by using a determined position of the part of the authentication-target living body and performs authentication for the authentication-target living body according to a comparison result of comparing the biometric feature of each of the plurality of living body images and the registered biometric feature.

Abstract: The disclosure facilitates fingerprint recognition, user authentication, and prevention of loss of control of personal information and identity theft. The disclosure also facilitates identifying spoofed fingerprint authentication attempts, and/or securing user touch sensitive devices against spoofed fingerprint authentication attempts.

Abstract: A system for applying fingerprinting/watermarking of consumer data, and analyzing “wild files” of consumer data to assign a guilt score for a particular party who may have leaked the data, allows the owner of data sources (“Data Owners”) to identify and assert ownership of textual data that has been distributed outside of their firewall in the clear (i.e., without encryption), either intentionally or unintentionally, and assign guilt to parties misusing the data. The system can be used by Data Owners who transmit, lease, or sell data to individuals or organizations (“Trusted Third Parties” or “TTPs”) to recognize and assert ownership of their data in the case where one or more TTPs leaks the data (the leaked file is defined as a “Leaked Subset”) into the hands of others (“Bad Actors”) who either knowingly or unknowingly use the data illegally.

Abstract: An ultrasonic sensor includes a two-dimensional array of ultrasonic transducers, wherein the two-dimensional array of ultrasonic transducers is substantially flat, a contact layer having a non-uniform thickness overlying the two-dimensional array of ultrasonic transducers, and an array controller configured to control activation of ultrasonic transducers during an imaging operation for imaging a plurality of pixels at a plurality of positions within the two-dimensional array of ultrasonic transducers.

Abstract: The present invention generally relates to a method for transitioning a device controller comprised with an electronic device from an at least partly inactive mode to an at least partly active mode, the electronic device further comprising a pre-processing module and a fingerprint sensor configured to acquire image data. The invention also relates to a corresponding electronic device and to a computer program product.

Abstract: Disclosed are devices and methods for collection, labeling and matching biological samples containing nucleic acid in conjunction with collecting at least one ridge and valley signature such as a fingerprint or footprint of an individual. Such devices and methods are used in forensic, human identification, paternity, tissue typing, and screening technologies to rapidly process an individual's identity, determine the identity of an individual along with the genotype profile of the individual.

Abstract: A fingerprint identification assembly is disclosed. The fingerprint identification assembly includes first point light sources for emitting first signal light; second point light sources for emitting second signal light after the first point light source emits the first signal light; light sensitive units configured to sequentially receive the first signal light and the second signal light reflected by a finger; and an optical filter layer provided on a light entry side of the light sensitive unit. The optical filter layer includes first filter units, the first filter unit corresponds to a non-imaging area that is formed on the light sensitive units after the first point light source is lit, for preventing the first signal light reflected by the finger from irradiating the non-imaging area of the light sensitive units, and allowing the second signal light reflected by the finger to irradiate the non-imaging area of the light sensitive units.

Abstract: Technologies are presented herein in support of a system and method for performing fingerprint recognition. Embodiments of the present invention concern a system and method for capturing a user's biometric features and generating an identifier characterizing the user's biometric features using a mobile device such as a smartphone. The biometric identifier is generated using imagery captured of a plurality of fingers of a user for the purposes of authenticating/identifying the user according to the captured biometrics and determining the user's liveness. The present disclosure also describes additional techniques for preventing erroneous authentication caused by spoofing. In some examples, the anti-spoofing techniques may include capturing one or more images of a user's fingers and analyzing the captured images for indications of liveness.

Abstract: A drive method for a texture recognition device and a texture recognition device. The texture recognition device includes a light source array and an image sensor array. The image sensor array includes a plurality of image sensors, the plurality of image sensors are configured to receive light emitted from the plurality of sub-light sources and then reflected by a texture to the plurality of image sensors for a texture collection; the drive method includes: at a first moment, the light source array operating to provide a first photosensitive light source, and at the first moment or a second moment different from the first moment, the light source array operating to provide a second photosensitive light source. A first imaging range of the first photosensitive light source on the image sensor array partially overlaps a second imaging range of the second photosensitive light source on the image sensor array.