This biological information acquisition device comprises: a first camera which captures a first hand image of a user, the hand being inserted into an imaging region; a second camera which captures a second hand image of the user used for biological authentication; and a processor which causes the second camera to capture the second hand image when a stop of the user's hand is detected on the basis of the hand image captured by the first camera.

The invention relates to a biometric sensing system, comprising: a light emitter, a polarization sensor, and a signal processing module, wherein the polarization sensor includes a first polarizer and a second polarizer. First, the light emitter emits a plurality of emitted light from the object under sensing, and reflected by the object. Then, a first reflected light in a first polarization direction and a second reflected light in a second polarization direction in the reflected light are sensed by the polarization sensor. Finally, the signal processing module calculates a first reflectance and a second reflectance according to the first reflected light and the second reflected light, and generate a reflectance ratio based on the first reflectance and the second reflectance. As such, the user determines whether the surface of the object under sensing is 3D by the reflectance ratio, so as to achieve improving safety and saving costs.

The present disclosure generally relates to the field of display technology, and in particular to a fingerprint recognition device and a display device having the fingerprint recognition device. A fingerprint recognition device includes a substrate; a plurality of point light sources on the substrate, which are configured to emit light; a plurality of light sensors on the substrate, which are configured to generate an electrical signal based on the light emitted from the plurality of point light sources and reflected from a touch surface, and a display layer on the plurality of light sensors.

An image forming device includes a hardware processor that: receives a charging job that is an object of charging; searches for a charging information storage that is around the device when the charging job is received; obtains charging information from the searched charging information storage; carries out a charging process for the charging job based on the charging information; and processes the charging job after the charging process is carried out.

Provided are a fingerprint identification device, a fingerprint identification method and an electronic device, which could improve security of fingerprint identification. The fingerprint identification device includes an optical fingerprint sensor including a plurality of pixel units; at least two filter units disposed above at least two of the plurality of pixel units, where each filter unit corresponds to one pixel unit, and the at least two filter units comprise filter units in at least two colors.

A computing platform is described to match a palm digital representation to a palm template. The platform includes logic causing presenting a viewfinder image including an image stream and/or a cue appearing to reside substantially in front of a user to guide the user to align a palm at a position within a field of view of a camera; capturing a set of images using the camera; processing the set of images to determine a set of identifying features of the palm; and comparing the set of identified features with enrolled palm prints to identify the palm.

A fingerprint sensor may include first and second electrodes, a light absorption layer isolated from direct contact with the first and second electrodes, and an insulation layer between the first electrode and the light absorption layer and further between the second electrode and the light absorption layer. A reflective layer may be between the light absorption layer and the first electrode. The insulation layer may include a first insulation layer between the first electrode and the light absorption layer, and a second insulation layer between the second electrode and the light absorption layer. A fingerprint sensor array including a plurality of fingerprint sensors may at least partially expose a plurality of sub-pixels of a display panel on which the fingerprint sensor array is located.

A computer implemented system and method for acquisition of advance consent for each instance of PII use includes the steps of receiving reference specimens for a user, electronically storing the reference specimens on a distributed block chain. When PII of the user is to be used, a consent session is electronically requested for the user. Consent-session specimens are electronically received from the user in response to the electronic request for the consent-session after completion of the consent session. The consent-session specimens include a video of the user making an affirmative consent statement, a photograph of fingerprints of the user, and a photograph of identification (ID) credentials of the user. A degree to which each of the consent-session specimens from the user match the reference specimens for the user is electronically determined and the transaction information is electronically stored on the distributed block chain.

A biological data detection method and a biological data detection device are provided. The method determines a variation in light intensity in an ambient environment encompassing a sensing unit at a biological characteristic matching stage compared to a biological characteristic registration stage, the sensing unit having a first value of a parameter at the biological characteristic matching stage and a second value of the parameter at the biological characteristic registration stage; obtaining the first value relative to the second value based on the variation in light intensity in an ambient environment such that image clarity and/or image noise of the biological image generated at the biological characteristic matching stage approximates image clarity and image noise of a biological image generated at the biological characteristic registration stage. The parameter of the sensing unit includes an exposure time and/or an ADC gain coefficient.

In an example, a method includes capturing one or more friction ridge images of a finger at an instance in time, the one or more friction ridge images including a plurality of perspectives of the finger. The method also includes determining, from the one or more friction ridge images, a rolled fingerprint representation of the finger, the rolled fingerprint representation comprising data from the plurality of perspectives, and outputting the rolled fingerprint representation.