Abstract: A method and system for integrated liveness detection and identity verification initiates a verification process via an application in a device having a front camera and a rear camera, activates both front and rear cameras, records a video stream of an identification document from the rear camera simultaneously with a video stream of the face of the user from the front camera, synchronizes video frames from the both video streams, analyzes the video frames and detects liveness of the user and liveness of the identification document. The rear camera stream is analyzed to capture and to extract a face image from the identification document and to recognize the identification document. The front camera stream is analyzed to capture a live image of the face of the user. The live image of the face of the user is compared with the face image. Confirmation of the user's identity is made.

Abstract: The present application relates to the field of computer software technologies, and in particular, to a face spoofing attack detection method and system. The suggested method comprises capturing an image; determining a context of the captured image; highlighting a part of the captured image to generate an image with the highlighted part, wherein the highlighted part is a potential spoofing region determined based on the context of the captured image; combining the captured image with the image with the highlighted part to generate a summarized image; performing face spoofing attack detection in the summarized image, wherein only the highlighted part has priority in the face spoofing attack detection, generating a general spoofing score as a result of the face spoofing attack detection; comparing the general spoofing score result with a threshold for face liveness detection.

Abstract: A user authentication method in a messaging application of an electronic device. The method comprises, if at least one text message is typed by a user in the messaging application, collecting image data relating to said user and behavioral data relating to said user, and, if at least one voice message is pronounced by said user in the messaging application, collecting image data relating to said user and voice data relating to said user.

Abstract: The present application relates to the field of computer software technologies, and in particular, to a face spoofing attack detection method and system. The suggested method comprises capturing an image containing a face of a user; highlighting at least one part of the captured image, which is a potential spoofing region; selecting a method for user liveness detection for a specific highlighted at least one part of the captured image, which is a potential spoofing region; performing user liveness detection using the selected method and based on the highlighted at least one part of the captured image to obtain a general liveness score; and comparing the general liveness score result with a threshold for face spoofing attack detection.

Abstract: A system and method and apparatus collect behavioral biometric and facial recognition data for biometric analysis by asking a user to type text to an electronic device. Fusion of knowledge based authentication, behavioral biometrics and facial recognition provides strong authentication and liveness detection, while keeping user experience to simply typing.

Abstract: A method for user authentication based on keystroke dynamics is provided. The user authentication method includes receiving a keystroke input implemented by a user; separating a sequence of pressed keys into a sequence of bigrams having bigram names simultaneously with the user typing free text; collecting a timing information for each bigram of the sequence of bigrams; extracting a feature vector for each bigram based on the timing information; separating feature vectors into subsets according to the bigram names; estimating a GMM user model using subsets of feature vectors for each bigram; providing real time user authentication using the estimated GMM user model for each bigram and bigram features from current real time user keystroke input. The corresponding system is also provided. The GMM based analysis of the keystroke data separated by bigrams provides strong authentication using free text input, while user additional actions (to be verified) are kept at a minimum.

Abstract: A computer-implemented method for verifying identity of a speaker is proposed. A low dimensional p-vector based on a speech of the speaker is extracted from the generated high dimensional speaker model and is then compared with the stored specific speaker's p-vector obtained previously during the enrollment process. The resulting biometric score is then used to determine whether to verify the speaker, or not.

Abstract: A method for user authentication based on keystroke dynamics is provided. The user authentication method includes receiving a keystroke input implemented by a user; separating a sequence of pressed keys into a sequence of bigrams having bigram names simultaneously with the user typing free text; collecting a timing information for each bigram of the sequence of bigrams; extracting a feature vector for each bigram based on the timing information; separating feature vectors into subsets according to the bigram names; estimating a GMM user model using subsets of feature vectors for each bigram; providing real time user authentication using the estimated GMM user model for each bigram and bigram features from current real time user keystroke input. The corresponding system is also provided. The GMM based analysis of the keystroke data separated by bigrams provides strong authentication using free text input, while user additional actions (to be verified) are kept at a minimum.

Abstract: A user authentication method in a messaging application of an electronic device. The method comprises, if at least one text message is typed by a user in the messaging application, collecting image data relating to said user and behavioral data relating to said user, and, if at least one voice message is pronounced by said user in the messaging application, collecting image data relating to said user and voice data relating to said user.

Abstract: A computer-implemented method for verifying identity of a speaker is proposed. A low dimensional p-vector based on a speech of the speaker is extracted from the generated high dimensional speaker model and is then compared with the stored specific speaker's p-vector obtained previously during the enrollment process. The resulting biometric score is then used to determine whether to verify the speaker, or not.

Abstract: A system and method and apparatus collect behavioral biometric and facial recognition data for biometric analysis by asking a user to type text to an electronic device. Fusion of knowledge based authentication, behavioral biometrics and facial recognition provides strong authentication and liveness detection, while keeping user experience to simply typing.

Abstract: A system, method and apparatus is disclosed for detection in a biometric system including the obtaining of a sequence of user's face images and making a decision about the presence of a dummy on the images. A distinctive feature of invention includes sequencing of images of the user made at the same time when the user pronounces a passphrase. In addition, predetermined mimic facial characteristics of the user are calculated, then predetermined statistic parameters of every mimic characteristic are calculated, and on this basis a coefficient of changes of the mimic characteristics within the sequence of images is calculated. The coefficient is compared with the predetermined threshold, and the decision of liveness detection on the sequence of images is concluded.