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 liveness test method includes detecting a face region in an input image; generating, based on the detected face region, weight map data related to a face location in the input image; generating concatenated data by concatenating the weight map data with feature data generated from an intermediate layer of a liveness test model or image data of the input image; and generating a liveness test result based on a liveness score generated by the liveness test model provided with the concatenated data.

A liveness test method includes detecting a face region in an input image; generating, based on the detected face region, weight map data related to a face location in the input image; generating concatenated data by concatenating the weight map data with feature data generated from an intermediate layer of a liveness test model or image data of the input image; and generating a liveness test result based on a liveness score generated by the liveness test model provided with the concatenated data.

The device outputs, to a display device, display information on a symbol which is to be moved and displayed; acquires a face image of a subject which has been captured by an image capturing device at a capturing timing while the display device displays the symbol; detects, from the face image, a line-of-sight position; determines that the subject of the face image is a living body when one or more prescribed conditions including a case in which the line-of-sight position matches a display position of the symbol at the image-capturing timing are all satisfied; and outputs an authentication result indicating success of the authentication when the subject is determined to be a living body and the biometric authentication is successful, and outputs an authentication result indicating failure of the authentication when the subject is determined not to be a living body or when the biometric authentication fails.

The device outputs, to a display device, display information on a symbol which is to be moved and displayed; acquires a face image of a subject which has been captured by an image capturing device at a capturing timing while the display device displays the symbol; detects, from the face image, a line-of-sight position; determines that the subject of the face image is a living body when one or more prescribed conditions including a case in which the line-of-sight position matches a display position of the symbol at the image-capturing timing are all satisfied; and outputs an authentication result indicating success of the authentication when the subject is determined to be a living body and the biometric authentication is successful, and outputs an authentication result indicating failure of the authentication when the subject is determined not to be a living body or when the biometric authentication fails.

An electronic device, a method, and computer readable medium are disclosed. The method includes transmitting radar signals via a radar transceiver. The method also includes identifying signals of interest that represent biometric information of a user based on reflections of the radar signals received by the radar transceiver. The method further includes generating an input based on the signals of interest that include the biometric information. The method additionally includes extracting a feature vector based on the input. The method also includes authenticating the user based on comparison of the feature vector to a threshold of similarity with preregistered user data.

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 spoofing detection apparatus comprises obtaining, from an image capture apparatus, a first image frame that includes the face of a subject person obtained when a light-emitting apparatus is emitting light and a second image frame that includes the face of the subject person obtained when the light-emitting apparatus is turned off, extracting, from the first image frame, information specifying a face portion of the subject person, and extract, from the second image frame, information specifying a face portion of the subject person, extracting a portion that includes a bright point formed by reflection in an iris region of an eye of the subject person, from the first image frame, extracts a portion corresponding to the portion that includes the bright point, from the second image frame, and calculates a feature that is independent of the position of the bright point, and determining authenticity of subject person based on the feature.

A spoofing detection apparatus comprises obtaining, from an image capture apparatus, a first image frame that includes the face of a subject person obtained when a light-emitting apparatus is emitting light and a second image frame that includes the face of the subject person obtained when the light-emitting apparatus is turned off, extracting, from the first image frame, information specifying a face portion of the subject person, and extract, from the second image frame, information specifying a face portion of the subject person, extracting a portion that includes a bright point formed by reflection in an iris region of an eye of the subject person, from the first image frame, extracts a portion corresponding to the portion that includes the bright point, from the second image frame, and calculates a feature that is independent of the position of the bright point, and determining authenticity of subject person based on the feature.

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.