A photographing apparatus includes an irradiation unit configured to irradiate a living body with beams of light having a plurality of wavelengths different from one another, a photographing unit configured to photograph the living body irradiated by the irradiation unit to generate image data of the living body, an image processing module configured to generate, based on the image data generated by the photographing unit, a plurality of pieces of wavelength separation image data, by separation into the plurality of wavelengths, and a control module configured to control, based on the image data and on the plurality of pieces of wavelength separation image data generated by the image processing module, irradiation light amounts of the beams of light having the plurality of wavelengths.

Disclosed are a photosensitive assembly, a method for manufacturing the same, and an electronic device. The photosensitive assembly includes a light-transmissive substrate, a light sensor, and a vibration member. The light sensor is disposed on a side of the light-transmissive substrate, and the vibration member is configured to drive the light-transmissive substrate to vibrate, such that a photosensitive area of the light-transmissive substrate is in an undulated shape.

A method for distinguishing a real three-dimensional object from a two-dimensional spoof of the real three-dimensional object, the method comprising: obtaining, by an optical sensor of a mobile device, an image containing an object that is either the two-dimensional spoof or the real three-dimensional object; providing the image to a neural network; processing the image by the neural network by calculating: 1) a distance map representative of the distance of pixels to the optical sensor, the pixels constituting at least a portion of the object within the image, or 2) a reflection pattern representative of light reflection associated with pixels constituting at least a portion of the object within the image; comparing the distance map or the reflection pattern with a learned distance map or a learned reflection pattern; and obtaining as a final output a determination the image contains either the two-dimensional spoof or the real three-dimensional object.

A robotic system is disclosed that include an articulated arm and a first perception system for inspecting an object, as well as a plurality of additional perception systems, each of which is arranged to be directed toward a common area in which an object may be positioned by the robotic arm such that a plurality of views within the common area may be obtained by the plurality of additional perception systems.

Interactive based on said set steps of authentication methods for the recognition of a person. During authentication, a previously stored enrollment image is presented on a display to the person. A candidate person is instructed to present a reproduced image of the same scene and/or object to a camera while the person is holding the camera (mobile camera for example) unsupported in free space with respect to the scene or object. Alternatively the user can hold the object unsupported in free space with respect the camera using the camera, a candidate image of the viewed scene or object is captured and presented with the previously stored enrollment image. The candidate person aligns the candidate image with the previously stored enrollment image. On alignment, the candidate image is verified as an authentic image of the person and the candidate person is authenticated as the person previously enrolled. The motivation of the invention is that once a person authenticates and the data alignment is accurate as in the registration. The needed CPU resources decreases dramatically and the level of authentication is increased in few magnitudes.

The present disclosure relates to a display control method, an electronic device, and a storage medium. The method includes: obtaining at least one frame of sensing data representing motion of a target object relative to an electronic device; predicting a to-be-identified region on the electronic device according to the sensing data; and displaying preset information in the to-be-identified region. The preset information is configured to indicate to input biometric information of the target object.

This invention is directed to an electronic device with an embedded authentication system for restricting access to device resources. The authentication system may include one or more sensors operative to detect biometric information of a user. The sensors may be positioned in the device such that the sensors may detect appropriate biometric information as the user operates the device, without requiring the user to perform a step for providing the biometric information (e.g., embedding a fingerprint sensor in an input mechanism instead of providing a fingerprint sensor in a separate part of the device housing). In some embodiments, the authentication system may be operative to detect a visual or temporal pattern of inputs to authenticate a user. In response to authenticating, a user may access restricted files, applications (e.g., applications purchased by the user), or settings (e.g., application settings such as contacts or saved game profile).

A method for identifying a user using an image of an object of the user that has a biometric characteristic of the user, like a fingerprint or a set of fingerprints of fingertips, the method comprising: obtaining, by an optical sensor of a mobile device, the image of the object; providing the image to a neural network; processing the image by the neural network, thereby identifying both, the position of the object and the object in the image; extracting, from the identified object, the biometric characteristic; storing the biometric characteristic in a storage device and/or providing at least the biometric characteristic as input to an identification means, comprising processing the input in order to determine whether the biometric characteristic identifies the user.

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.

Various examples are provided for distortion rectification and fingerprint crossmatching. In one example, a method includes selecting an electronic, perspective distorted fingerprint sample; and generating an unwarped fingerprint sample by rectifying perspective distortions from the perspective distorted fingerprint sample by application of an unwarping transformation. Parameters of the unwarping transformation can be determined by a deep convolutional neural network (DCNN) trained on a database comprising contactless fingerprint samples suffering from perspective distortions. In another example, a system comprises processing circuitry that can: identify warp parameters associated with a contactless fingerprint sample, the warp parameters estimated from the contactless fingerprint sample by a DCNN trained on a database comprising contactless fingerprint samples suffering from perspective distortions; and generate an unwarped fingerprint sample from the contactless fingerprint sample, the unwarped fingerprint sample generated using an unwarping transformation based upon the identified warp parameters.