Abstract: A method for verifying the identity of a user is provided that includes generating, by a computing device, a parameter for each processed frame in a video of biometric data captured from a user. The parameter results from movement of the computing device during capture of the biometric data. Moreover, the method includes generating a signal for the parameter and calculating a confidence score based on the generated signal and a classification model specific to the user. The classification model is generated from other signals generated for the parameter. Furthermore, the method includes verifying the identity of the user as true when the confidence score is at least equal to a threshold score.

Abstract: A method for detecting user liveness is provided that includes selecting first and second images from a sequence of images. The first and second images are captured under different illumination conditions. The method further includes locating feature calculation windows in corresponding positions on the first and second images. Each window includes a first area and a second area. Moreover, the method includes calculating, by a computing device, a feature value for each window position based on pixels, within the windows located at the position, from the first and second images. Furthermore, the method includes calculating a feature vector from the feature values, calculating a confidence score from the feature vector, and determining the sequence of images includes images of a live user when the confidence score is equal to or greater than the threshold score.

Abstract: A method for ensuring that an individual is authorized to conduct an activity is provided. The method includes conducting, using a processor, an authentication transaction with authentication data captured from an individual desiring to conduct an activity, and determining whether the captured authentication data is legitimate when the individual is successfully authenticated. Moreover, the method includes determining the individual is authorized to conduct the activity when the captured authentication data is legitimate, and conducting, using the processor, a subsequent authentication transaction with authentication data captured from the individual at a subsequent time.

Abstract: A method of host-directed illumination for verifying the validity of biometric data of a user is provided that includes capturing biometric data from a user with an authentication device during authentication and directing illumination of the biometric data from a host authentication system during the capturing operation. Moreover, the method includes comparing illumination characteristics of the captured biometric data against illumination characteristics expected to result from the directing operation, and determining that the user is a live user when the illumination characteristics of the captured biometric data match the illumination characteristics expected to result from the directing operation.

Abstract: A method for capturing image data of a user is provided that includes displaying, by a computing device, a perspective view of a virtual computing device. Moreover, the method includes changing, by the computing device, the perspective view of the virtual computing device while the computing device moves, changing, by the computing device, the display of the virtual computing device to provide notification that the computing device is in an acceptable position for capturing image data of a user, and capturing, by a camera included in the computing device, facial image data of the user.

Abstract: A method for ensuring that an individual is authorized to conduct an activity is provided. The method includes conducting, using a processor, an authentication transaction with authentication data captured from an individual desiring to conduct an activity, and determining whether the captured authentication data is legitimate when the individual is successfully authenticated. Moreover, the method includes determining the individual is authorized to conduct the activity when the captured authentication data is legitimate, and conducting, using the processor, a subsequent authentication transaction with authentication data captured from the individual at a subsequent time.

Abstract: A method for detecting user liveness is provided that includes selecting first and second images from a sequence of images. The first and second images are captured under different illumination conditions. The method further includes locating feature calculation windows in corresponding positions on the first and second images. Each window includes a first area and a second area. Moreover, the method includes calculating, by a computing device, a feature value for each window position based on pixels, within the windows located at the position, from the first and second images. Furthermore, the method includes calculating a feature vector from the feature values, calculating a confidence score from the feature vector, and determining the sequence of images includes images of a live user when the confidence score is equal to or greater than the threshold score.

Abstract: A method identifying a client computer system is provided that includes requesting over a network, by a client computer system, to access a server computer system operating an online service. The client computer system includes an input device. Moreover, the method includes granting access, by the server computer system, to the client computer system, and capturing input data from the client computer system, by the server computer system. The input data is generated by activity of the input device. Furthermore, the method includes calculating temporal differences from the captured input data, a distribution from the temporal differences, and a clustering tendency and a clustering period for the distribution from the captured input data. Additionally, the method includes identifying, by the server computer system, the client computer system when the calculated clustering tendency and clustering period match corresponding data for a client computer system stored in the server computer system.

Abstract: A method for verifying the identity of a user is provided that includes generating, by a computing device, a parameter for each processed frame in a video of biometric data captured from a user. The parameter results from movement of the computing device during capture of the biometric data. Moreover, the method includes generating a signal for the parameter and calculating a confidence score based on the generated signal and a classification model specific to the user. The classification model is generated from other signals generated for the parameter. Furthermore, the method includes verifying the identity of the user as true when the confidence score is at least equal to a threshold score.

Abstract: A method of capturing biometric data is provided that includes activating a security application in a device. The security application is activated by an operator of the device and is configured to cause the device to display an outline image. Moreover, the method includes displaying the outline image in a stationary position on a display of the device, positioning desired biometric data proximate the device such that the desired biometric data appears as a biometric image on the device display, and monitoring the outline and biometric images shown on the device display. Furthermore, the method includes positioning the device and the desired biometric data to better align the outline and biometric images when the outline and biometric images do not align and capturing the desired biometric data from an individual after approximately aligning the outline image with the biometric image.

Abstract: A method for enhancing user liveness detection is provided that includes calculating, by a computing device, parameters for each frame in a video of captured face biometric data. Each parameter results from movement of at least one of the computing device and the biometric data during capture of the biometric data. The method also includes creating a signal for each parameter and calculating a similarity score. The similarity score indicates the similarity between the signals. Moreover, the method includes determining the user is live when the similarity score is at least equal to a threshold score.

Abstract: A method of host-directed illumination for verifying the validity of biometric data of a user is provided that includes capturing biometric data from a user with an authentication device during authentication and directing illumination of the biometric data from a host authentication system during the capturing operation. Moreover, the method includes comparing illumination characteristics of the captured biometric data against illumination characteristics expected to result from the directing operation, and determining that the user is a live user when the illumination characteristics of the captured biometric data match the illumination characteristics expected to result from the directing operation.

Abstract: A method for detecting user head motion during an authentication transaction is provided that includes generating, by a processor, a motion type feature vector and a user head motion type prediction based on data generated for a sequence of frames. The frames are included in biometric data captured from a user. Moreover, the method includes generating a liveness rating feature vector based on the generated frame data, merging the motion type and liveness rating vectors, and generating a spoof prediction from the merged vector. When the generated spoof prediction indicates biometric data in the frames was spoofed, the method includes changing the user head motion type prediction to no motion. The method also includes storing the user head motion type prediction in a buffer and determining a final user head motion type detected for the frames.

Abstract: A method of authenticating users to reduce transaction risks includes indicating a desire to conduct a transaction and determining whether the transaction requires access to protected resources. Moreover, the method determines whether inputted information is known, determines a state of a communications device when the inputted information is known, and transmits a biometric authentication request from a server to an authentication system when the state of the communications device is enrolled.

Abstract: A method of capturing biometric data is provided that includes activating a security application in a device. The security application is activated by an operator of the device and is configured to cause the device to display an outline image. Moreover, the method includes displaying the outline image in a stationary position on a display of the device, positioning desired biometric data proximate the device such that the desired biometric data appears as a biometric image on the device display, and monitoring the outline and biometric images shown on the device display. Furthermore, the method includes positioning the device and the desired biometric data to better align the outline and biometric images when the outline and biometric images do not align and capturing the desired biometric data from an individual after approximately aligning the outline image with the biometric image.

Abstract: A method for enhancing user liveness detection is provided that includes calculating, by a computing device, a first angle and a second angle for each frame in a video of captured face biometric data. The first angle is between a plane defined by a front face of the terminal device and a vertical axis, and the second angle is between the plane defined by the front face of the terminal device and a plane defined by the face of the user. Moreover, the method includes creating a first signal from the first angles and a second signal from the second angles, calculating a similarity score between the first and second signals, and determining the user is live when the similarity score is at least equal to a threshold score.

Abstract: A method for enhancing user liveness detection is provided that includes calculating, by a computing device, parameters for each frame in a video of captured face biometric data. Each parameter results from movement of at least one of the computing device and the biometric data during capture of the biometric data. The method also includes creating a signal for each parameter and calculating a similarity score. The similarity score indicates the similarity between the signals. Moreover, the method includes determining the user is live when the similarity score is at least equal to a threshold score.

Abstract: A method of capturing biometric data is provided that includes calculating, by a terminal device, an angle between a surface of the terminal device and an X-axis of the terminal device. When the angle is other than ninety degrees, a prompt is displayed on the terminal device that is designed to cause a terminal device user to adjust the position of the terminal device into an optimal position. After adjusting the position of the terminal device, the terminal device calculates the angle and when the angle is ninety degrees the terminal device captures biometric data from the user.

Abstract: A method of host-directed illumination for verifying the validity of biometric data of a user is provided that includes capturing biometric data from a user with an authentication device during authentication and directing illumination of the biometric data from a host authentication system during the capturing operation. Moreover, the method includes comparing illumination characteristics of the captured biometric data against illumination characteristics expected to result from the directing operation, and determining that the user is a live user when the illumination characteristics of the captured biometric data match the illumination characteristics expected to result from the directing operation.

Abstract: A method for capturing biometric data is provided that includes capturing a user biometric characteristic positioned freely in space in a video with a mobile device while moving the user biometric characteristic in response to at least one instruction. The video includes frames that each includes a user biometric characteristic image. Moreover, the method includes obtaining frames from the video and determining obtained video frames that include an optimally positioned user biometric characteristic image. The optimally positioned user biometric characteristic image is user biometric data usable for generating accurate authentication transaction results to authenticate the user. The method also includes storing the optimally positioned user biometric characteristic image included in a determined video frame in the mobile device.