Disclosed herein are methods and systems for determining liveness of a user, comprising analyzing visual content of a screen of a client device used by a user to access an online service, adjusting one or more visual objects displayed on the screen of the client device according to dynamically changing patterns, capturing a sequence of images depicting one or more reflecting surfaces associated with the user viewing the screen while the visual objects are displayed, analyzing the images to identify a reflection of the displayed visual objects in the reflecting surfaces and verifying liveness of the user based on one or more of a plurality of reflection attributes of the identified reflection.

A computer-implemented method, for verifying an electronic device user, comprising the steps of issuing at least one action instruction to an electronic device user using a notification mechanism of the electronic device; recording response data from a plurality of data acquisition systems of the electronic device, the response data pertaining to the user's response to the at least one action instruction; processing the response data to form classification scores; combining the classification scores to form a classification value; and verifying the user if the classification value satisfies a threshold, wherein each of the at least one action instruction comprises a liveness challenge.

A processor-implemented method with liveness detection includes: receiving a plurality of phase images of different phases; generating a plurality of preprocessed phase images by performing preprocessing, including edge enhancement processing, on the plurality of phase images of different phases; generating a plurality of differential images based on the preprocessed phase images; generating a plurality of low-resolution differential images having lower resolutions than the differential images, based on the differential images; generating a minimum map image based on the low-resolution differential images; and performing a liveness detection on an object in the phase images based on the minimum map image.

The present invention is a method and system to verify carpool occupancy compliance for access to High Occupancy Vehicle (HOV) lanes, High Occupancy or Toll (HOT) lanes, or other vehicle-occupancy contingent rewards. The present invention uses software and hardware devices with radio-frequency transmitter modules to capture one or more photo images of vehicle occupants and to perform boxed headcounts of humans in any given photo frame. The present invention uses biometric signature detection to confirm the boxed headcounts and a realness algorithm to further confirm the genuineness of any human image. Occupancy compliance can be communicated directly to an appropriate regulatory body.

Systems and methods for utilizing an image capture device to scan facial features of a user, responsive to recognition of a plurality of beam projection points on the face of the user. The first data captured from scanning the facial features may be authenticated against a facial depth map stored as a data structure in a data storage medium. In response to successful authentication, the facial features of the user may be continually scanned to detect facial movements indicative of the user's liveness. Access may be granted to the user, in response to verifying the user's liveness.

An apparatus may include a processor that may be caused to access handholding information indicating a hand configuration in which the apparatus is being held and compare the handholding information with previously-stored handholding authentication data of an authentic user. The previously-stored handholding authentication data may represent an authentic configuration in which the apparatus is held by the authentic user. The processor may be caused to determine that the apparatus is being held by the authentic user based on the comparison and cause an authenticated action to occur based on the determination.

Disclosed herein are systems and methods for recovering online services user accounts of users based on verification of the users in video conferences, comprising receiving a request for recovering an account of a user of an online service, establishing one or more video conference sessions between a client device used by the user, client devices used by one or more trustees associated with the user and a bot agent initiated for the video conference session(s), operating the bot agent during the one or more video conference sessions to guide the one or more trustees to verify an identity of the user, and initiating an account recovery process for the account of the user in response to receiving a positive verification verdict from the one or more trustees.

An authentication method comprising obtaining (S101) a first stored user data, SUD, part provided by a user; obtaining (S102) a second SUD part from a storage location (152; 752); combining (S103) the first SUD part and the second SUD part to obtain a combined SUD; obtaining (S104) live user data (154; 756) from the user; comparing (S105) the live user data and the combined SUD; and, determining whether to authenticate (S105) based on the comparison

The invention relates to a device for biometric identification with the aid of fingerprints and/or hand characteristics, the device comprising a sensor unit (1) directed at the region of an optical gate (2) in a scanning direction (S), wherein the optical gate (2) is adapted to initialize the sensor unit (1) for scanning an in-focus scan image or scan images of the fingers and/or hand of a person, wherein the device further comprises at least one light source (5), which is likewise directed at the region of the optical gate (2), wherein the sensor unit (1), the optical gate (2) and optionally also the light source (5) are coupled to a control and computing module (6) with software for controlling the device and its parts and for scanning a scan image or the scan images of fingers and/or a hand, and for evaluating the fingerprints and/or hand characteristics, wherein the sensor unit (1) is fixedly set to focus into a focal volume (3) which is assigned to the optical gate (2), and the sensor unit (1), the optical gate (2), the control and computing module (6) and optionally also the light source (5) are configured to scan a single in-focus scan image of the fingers and/or the hand at the time of the passage thereof through the focal volume (3).

Systems and methods for adaptive verification may include a memory and a processor. The memory may be configured to store a plurality of animation templates. The processor may be configured to perform a first challenge process to request a first user image from a first predetermined distance, receive the first user image, request a second user image from a second predetermined distance, receive the second user image, transmit the first user image and the second user image for a verification process, the verification process including identification of one or more user attributes, receive a third user image associated with the one or more user attributes identified during the verification, and display the third user image including an adaptation, wherein the adaptation is generated for at least one of the plurality of animation templates, the adaptation illustrating the one or more user attributes.