An electronic device is provided that includes a display in which a fingerprint recognition area is formed and which includes a display pixel layer, and a rear panel, formed under the display, having a first hole. The electronic device also includes a bracket, disposed under the rear panel, having a sensor accommodating area corresponding to a fingerprint sensor. The electronic device additionally includes the fingerprint sensor disposed under the display pixel layer and adapted to acquire image information to be used for authentication of a fingerprint using at least partially light radiated from the display pixel layer and reflected by the object. The sensor accommodating area has a second hole passing through the bracket, and the fingerprint sensor is disposed in the sensor accommodating area such that an air gap between the display and the fingerprint sensor is formed at least by a portion of the second hole.

A method comprising using at least one hardware processor to: control a camera to begin at a prescribed starting position and move incrementally to capture a series of images of at least one fingerprint; once the images are captured, evaluating the captured images for best focus using an algorithm designed expressly for fingerprint ridge structure, wherein the focus in each frame can be determined by taking the average per pixel convolution value of a Laplace filter over a small region of the full resolution image and wherein the Laplace filter comprises: capturing an image at an initial focus distance, convolving the captured image with Laplacian of Gaussian kernel, assigning a score to the filtered image reflecting the amount to fine edge resolution, and dynamically updating the focus until an optimal distance is found.

The present disclosure describes a light receiving IC, a proximity sensor and an electronic machine capable of expanding a display area of an electronic machine having a proximity sensor. A light receiving IC includes: a driving portion, driving an LED that emits light; and a light receiving element, detecting reflected light. The light receiving IC is disposed in a region that is under an OLED panel and is covered by the OLED panel.

A biometric authentication device with infection preventive function to prevent infection of pathogens such as virus, bacteria and the like is described. The biometric authentication device with infection preventive function includes: an image acquisition unit configured to take an image of a finger of a person to be authenticated; an authentication processing unit configured to performs an authentication process by the use of biometric information contained in the taken image; and a contact prevention unit configured to prevent the finger of the person to be authenticated from coming in contact with the biometric authentication device by leading the finger of the person to be authenticated to a predetermined position in relation to the biometric authentication device by the tactile sensation.

A signal detection method applied in an electronic device includes: resetting each optical sensor at a first time point; collecting a first signal output by the optical sensor at the first time point, a second signal output by the optical sensor at a second time point, a third signal output by the optical sensor at a third time point, and a fourth signal output by the optical sensor at a fourth time point; obtaining a first difference value between the first signal and the second signal and a second difference value between the third signal and the fourth signal, and determining a sum of the first difference value and the second difference value as a signal variation amount in a current cycle. Also disclosed are an associated electronic device and a non-transitory computer readable storage medium.

The method comprises capturing a plurality of images of a single biometric object during a single activation of a biometric sensor and ranking the images based on a ranking metric value of each of the images to determine a highest ranked image and at least one non-highest ranked image. The method comprises comparing, in a first matching attempt for the biometric object, the highest ranked image to templates of a plurality of pre-stored biometric object templates, wherein a matching metric is determined for each compared template, and generating a match indicating signal when it is determined that at least one of the matching metrics exceeds a matching threshold value. When it is determined that none of the matching metrics exceed the matching threshold value, one of the non-highest ranked images is compared, in a further matching attempt, to templates of the plurality of templates based on the matching metrics.

A method includes obtaining, by a processing device from an optical sensor of a mobile device, an image of an object; processing, by the processing device, the image using a neural network, wherein processing the image includes distinguishing, using the neural network, a first portion of the image including a region of interest, ROI, from a second portion of the image; after processing the image, extracting, by the processing device, a biometric characteristic of the object from the ROI; and processing, by the processing device, the biometric characteristic of the object to determine whether the biometric characteristic of the object identifies a user.

Disclosed is a cost-effective method to fabricate a multifunctional collimator structure for contact image sensors to filter ambient infrared light to reduce noises. In one embodiment, an optical collimator, includes: a dielectric layer; a substrate; a plurality of via holes; and a conductive layer, wherein the dielectric layer is formed over the substrate, wherein the plurality of via holes are configured as an array along a lateral direction of a first surface of the dielectric layer, wherein each of the plurality of via holes extends through the dielectric layer and the substrate from the first surface of the dielectric layer to a second surface of the substrate in a vertical direction.

A method and a system comprise: at a hand imaging device (1, 1′, . . . ), capturing (S4) image data of a hand (91) of a current person (9), at a federation server (11), comparing (S5) a current feature vector determined from the captured image data with pre-stored feature vectors of enrolled persons, at a user device (92) of the current person (9), processing (S8) second factor information for enabling execution of an electronic payment In some embodiments, the electronic payment is initiated by a payment service server (21) and forwarded to a bank (5, 5′, . . . ) via a banking gateway (4) for adhering to payment protocols of the bank (5, 5′, . . . ).

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.