A notarization system for use in notarizing a document, the system comprising: a handheld notarization device having a printer; and a notarization application configured to be accessible only by a primary user and to operate on a mobile device having a camera, the notarization application being programmed to digitally read identification information from an identification card of a secondary user received via the camera, such that to verify the identity of the secondary user and authenticate the identification card, digitally scan and generate a digital line drawing of a fingerprint of the secondary user received via the camera, digitally generate a notarization endorsement and cause a printing of the notarization endorsement onto a tamper-resistant sticker via the printer, wherein, when the notarization application is being accessed by the primary user, and upon signing of the document by the secondary user, the notarization application causes a printing of the notarization endorsement.

Optical films and stacks include at least one optically diffusive layer. The optically diffusive layer can include a plurality of nanoparticles and a polymeric material bonding the nanoparticles to each other to form a plurality of nanoparticle aggregates defining a plurality of voids therebetween. For substantially normally incident light and a visible wavelength range from about 450 nm to about 650 nm and an infrared wavelength range from about 930 nm to about 970 nm: in the visible wavelength range, the optical film or optically diffusive layer has an average specular transmittance Vs; and in the infrared wavelength range, the optical film or optically diffusive layer has an average total transmittance It and an average specular transmittance Is, Is/It≥0.6, Is/Vs≥2.5.

A control method includes obtaining feature data using at least one sensor, the feature data being acquired by the terminal using the at least one sensor, generating an action instruction based on the feature data and a decision-making mechanism of the terminal, and executing the action instruction. In this application, various aspects of feature data are acquired using a plurality of sensors, data analysis is performed on the feature data, and a corresponding action instruction is then generated based on a corresponding decision-making mechanism to implement interactive control.

Embodiments provide an apparatus for providing a fingerprint of an input signal, wherein the apparatus is configured to determine intensity values for a plurality of time-frequency regions of the input signal, wherein the apparatus is configured to compare the intensity values associated with different time-frequency regions of the plurality of time-frequency regions, to obtain individual values of the fingerprint based on the comparison of intensity values associated with two time-frequency regions.

An electronic device may have a display overlapped by an image transport layer such as a coherent fiber bundle or layer of Anderson localization material. The image transport layer may have an input surface that receives an image from the display and a corresponding output surface to which the image is transported. The input surface and output surface may have different shapes. During fabrication of the image transport layer, a peripheral portion of the image transport layer may be laterally indented to form a peripheral recess. Electrical components such as optical and radio-frequency components may be mounted in the recess and may be overlapped by peripheral portions of the image transport layer and/or may be mounted under the display.

A virtual reality (VR) or augmented reality (AR) system includes: a display configured to display a user interface to a user; an integrated scrollwheel and fingerprint sensor (FPS) user input apparatus, comprising a scrollwheel configured to detect a rotational navigation input from the user and an FPS configured to detect a biometric input from the user; and a processing system configured to: receive the rotational navigation input via the scrollwheel of the integrated scrollwheel and FPS user input apparatus; update a displayed user interface on the display based on the received rotational navigation input, wherein updating the displayed user interface comprises updating a user selection on a displayed menu; receive an activation input for the updated user selection on the displayed menu via the FPS of the integrated scrollwheel and FPS user input apparatus; and execute an operation corresponding to the updated user selection on the displayed menu.

Fingerprint encryption method and device, fingerprint decryption method and device, storage medium and terminal are provided. The fingerprint encryption method includes: acquiring a fingerprint image; dividing the fingerprint image into a plurality of block images according to a preset window, wherein a size of the block image is the same with a size of the preset window; determining identifiers of the plurality of block images, wherein the identifiers of the plurality of block images have a first preset order; and determining, according to the identifiers of the plurality of block images and a received encryption order, a plurality of encrypted block images to obtain an encrypted fingerprint image. Security of fingerprint storage or fingerprint transmission is enhanced.

The present disclosure related to an optical fingerprint identification display and a driving method thereof. In the optical fingerprint identification display and the driving method thereof, the fingerprint identification display includes: a display panel and a processor. The display panel includes a plurality of pixels arranged in a two-dimensional matrix. The pixel includes: at least one subpixel which emits light on the basis of a first signal received from the processor; and an optical sensor which receives the light emitted from the subpixel and is reflected from a fingerprint and generates a second signal. The processor determines a touch region on the display panel, and transmits the first signal to one or more pixels included in the touch region, and identifies the fingerprint of the user on the basis of the second signal received from the pixel.

The disclosure relates to an enrolment method carried out by a smart card using an internal or external electrical power supply, comprising: determining an applied mode among a first and second mode in which the electrical power supply is respectively below and above a predefined threshold; obtaining of N fingerprints in the form of image pixels, N being an integer greater than or equal to 2; extracting digital data representative of characteristic points of the fingerprints by a reading of the pixels at a predetermined resolution level; and generating a fingerprint template by aggregation of the digital data, the enrolment further comprising: determining based on the applied mode of at least one among the number N and the resolution level, so that the fingerprint template has a higher definition in the second mode than in the first mode.

A fingerprint anti-counterfeiting method and an electronic device are provided. The fingerprint anti-counterfeiting method includes: After detecting a fingerprint input action of a user, an electronic device obtains a fingerprint image generated by the fingerprint input action, and obtains a vibration-sound signal generated by the fingerprint input action. The device determines, based on a fingerprint anti-counterfeiting model, whether the fingerprint input action is performed by a true finger. The fingerprint anti-counterfeiting model is a multi-dimensional network model obtained through learning based on fingerprint images for training and corresponding vibration-sound signals. The fingerprint anti-counterfeiting method in embodiments of this application helps improve a protection capability of the electronic device for a fake fingerprint attack.