Abstract: An image processing component is trained to process 2D images of human body parts, in order to extract depth information about the human body parts captured therein. Image processing parameters are learned during the training from a training set of captured 3D training images, each 3D training image of a human body part and captured using 3D image capture equipment and comprising 2D image data and corresponding depth data, by: processing the 2D image data of each 3D training image according to the image processing parameters, so as to compute an image processing output for comparison with the corresponding depth data of that 3D image, and adapting the image processing parameters in order to match the image processing outputs to the corresponding depth data, thereby training the image processing component to extract depth information from 2D images of human body parts.

Abstract: A method of a digital identity system generating a sharing token for authenticating a bearer to a validator, wherein a data store of the digital identity system holds a plurality of attributes of the bearer, the method comprising implementing by the digital identity system the following steps: receiving at the digital identity system from a bearer an electronic sharing token request, wherein the token request identifies at least one of the bearer's attributes in the data store selected for sharing with a validator; in response to the electronic token request, generating a sharing token, which is unique to that request, for presentation by the bearer to a validator; associating with the unique sharing token at the digital identity system the identified at least one bearer attribute; and issuing to the bearer the unique sharing token; and wherein later presentation of the unique sharing token to the digital identify system by a validator causes the at least one bearer attribute associated with the sharing token

Abstract: In one or more examples, a computer system is equipped with an image capture device and at least one processor configured to apply automated age estimation to an image(s) captured with the image capture device. In some examples, the computer system is configured to implement multiple age verification methods, such as automated age estimation in combination with one or more other forms of age verification.

Abstract: A method of associating user identity with an autonomous agent embodied on a blockchain stored in a blockchain network, the method comprising the following steps: a user engaging in a user authentication process to obtain a set of one or more verified identity attributes of the user; computing an identity hash, by applying a hash function to input data comprising the set of verified identity attributes; and sending to the blockchain network a data package comprising the identity hash and an identifier of the autonomous agent; wherein the autonomous agent is embodied on the blockchain as program code and at least one associated state register for storing associated program state, and wherein the data package causes at least a portion of the autonomous agent's program code to be executed on a node of the blockchain network, which upon execution stores the identity hash in the at least one state register of the autonomous agent.

Abstract: A method of a digital identity system generating a sharing token for authenticating a bearer to a validator, wherein a data store of the digital identity system holds a plurality of attributes of the bearer, the method comprising implementing by the digital identity system the following steps: receiving at the digital identity system from a bearer an electronic sharing token request, wherein the token request identifies at least one of the bearer's attributes in the data store selected for sharing with a validator; in response to the electronic token request, generating a sharing token, which is unique to that request, for presentation by the bearer to a validator; associating with the unique sharing token at the digital identity system the identified at least one bearer attribute; and issuing to the bearer the unique sharing token; and wherein later presentation of the unique sharing token to the digital identify system by a validator causes the at least one bearer attribute associated with the sharing token

Abstract: An image processing component is trained to process 2D images of human body parts, in order to extract depth information about the human body parts captured therein. Image processing parameters are learned during the training from a training set of captured 3D training images, each 3D training image of a human body part and captured using 3D image capture equipment and comprising 2D image data and corresponding depth data, by: processing the 2D image data of each 3D training image according to the image processing parameters, so as to compute an image processing output for comparison with the corresponding depth data of that 3D image, and adapting the image processing parameters in order to match the image processing outputs to the corresponding depth data, thereby training the image processing component to extract depth information from 2D images of human body parts.

Abstract: Image processing systems and methods are provided for authorizing the performance at a computer terminal of an age-restricted activity. An estimated human age is determined based on human characteristics of a structure detected in an image captured at the computer terminal. It is determined whether the structure exhibits at least one liveness characteristic indicating the human characteristics from which the estimated human age is determined have been captured directly from a living human at the computer terminal. A positive determination is made as to whether performance of the age-restricted activity is authorized if the estimated human age meets a predetermined age requirement and the structure is determined to exhibit at least one liveness characteristic, and a negative determination is made if: i) the estimated human age does not meet the predetermined age requirement; and/or ii) the structure is not determined to exhibit at least one liveness characteristic.

Abstract: An image processing component is trained to process 2D images of human body parts, in order to extract depth information about the human body parts captured therein. Image processing parameters are learned during the training from a training set of captured 3D training images, each 3D training image of a human body part and captured using 3D image capture equipment and comprising 2D image data and corresponding depth data, by: processing the 2D image data of each 3D training image according to the image processing parameters, so as to compute an image processing output for comparison with the corresponding depth data of that 3D image, and adapting the image processing parameters in order to match the image processing outputs to the corresponding depth data, thereby training the image processing component to extract depth information from 2D images of human body parts.

Abstract: One aspect provides a method of authenticating a user of a user device, the method comprising: receiving motion data captured using a motion sensor of the user device during an interval of motion of the user device induced by the user; processing the motion data to generate a device motion feature vector, inputting the device motion feature vector to a neural network, the neural network having been trained to distinguish between device motion feature vectors captured from different users; and authenticating the user of the user device, by using a resulting vector output of the neural network to determine whether the user-induced device motion matches an expected device motion pattern uniquely associated with an authorized user, the neural network having been trained based on device motion feature vectors captured from a group of training users, which does not include the authorized user.

Abstract: A method of configuring an anti-spoofing system to detect if a spoofing attack has been attempted, in which an image processing component of the anti-spoofing system is trained to process 2D verification images according to a set of image processing parameters, in order to extract depth information from the 2D verification images. The configured anti-spoofing system comprises an anti-spoofing component which uses an output from the processing of a 2D verification image by the image processing component to determine whether an entity captured in that image corresponds to an actual human or a spoofing entity.

Abstract: A method of a digital identity system generating a sharing token for authenticating a bearer to a validator, wherein a data store of the digital identity system holds a plurality of attributes of the bearer, the method comprising implementing by the digital identity system the following steps: receiving at the digital identity system from a bearer an electronic sharing token request, wherein the token request identifies at least one of the bearer's attributes in the data store selected for sharing with a validator; in response to the electronic token request, generating a sharing token, which is unique to that request, for presentation by the bearer to a validator; associating with the unique sharing token at the digital identity system the identified at least one bearer attribute; and issuing to the bearer the unique sharing token; and wherein later presentation of the unique sharing token to the digital identify system by a validator causes the at least one bearer attribute associated with the sharing token

Abstract: A method of associating user identity with an autonomous agent embodied on a blockchain stored in a blockchain network, the method comprising the following steps: a user engaging in a user authentication process to obtain a set of one or more verified identity attributes of the user; computing an identity hash, by applying a hash function to input data comprising the set of verified identity attributes; and sending to the blockchain network a data package comprising the identity hash and an identifier of the autonomous agent; wherein the autonomous agent is embodied on the blockchain as program code and at least one associated state register for storing associated program state, and wherein the data package causes at least a portion of the autonomous agent's program code to be executed on a node of the blockchain network, which upon execution stores the identity hash in the at least one state register of the autonomous agent.

Abstract: A method of configuring an anti-spoofing system to detect if a spoofing attack has been attempted, in which an image processing component of the anti-spoofing system is trained to process 2D verification images according to a set of image processing parameters, in order to extract depth information from the 2D verification images. The configured anti-spoofing system comprises an anti-spoofing component which uses an output from the processing of a 2D verification image by the image processing component to determine whether an entity captured in that image corresponds to an actual human or a spoofing entity.

Abstract: A method of a digital identity system generating a sharing token for authenticating a bearer to a validator, wherein a data store of the digital identity system holds a plurality of attributes of the bearer, the method comprising implementing by the digital identity system the following steps: receiving at the digital identity system from a bearer an electronic sharing token request, wherein the token request identifies at least one of the bearer's attributes in the data store selected for sharing with a validator; in response to the electronic token request, generating a sharing token, which is unique to that request, for presentation by the bearer to a validator; associating with the unique sharing token at the digital identity system the identified at least one bearer attribute; and issuing to the bearer the unique sharing token; and wherein later presentation of the unique sharing token to the digital identify system by a validator causes the at least one bearer attribute associated with the sharing token

Abstract: An image processing component is trained to process 2D images of human body parts, in order to extract depth information about the human body parts captured therein. Image processing parameters are learned during the training from a training set of captured 3D training images, each 3D training image of a human body part and captured using 3D image capture equipment and comprising 2D image data and corresponding depth data, by: processing the 2D image data of each 3D training image according to the image processing parameters, so as to compute an image processing output for comparison with the corresponding depth data of that 3D image, and adapting the image processing parameters in order to match the image processing outputs to the corresponding depth data, thereby training the image processing component to extract depth information from 2D images of human body parts.

Abstract: A digital identity system comprises an enrolment module configured to receive a data item captured from an identity document, and create in persistent electronic storage a digital identity comprising the data item, a credential creation module configured to issue to a user device a credential bound to the digital identity, and a validation service. The validation service is configured to receive an electronic message comprising the credential and identifying a target device, validate the credential, and if the credential is valid, use the credential to transmit an electronic message to the target device, so as to render the data item of the digital identity available to the target device.

Abstract: One aspect provides a method of authenticating a user of a user device, the method comprising: receiving motion data captured using a motion sensor of the user device during an interval of motion of the user device induced by the user; processing the motion data to generate a device motion feature vector, inputting the device motion feature vector to a neural network, the neural network having been trained to distinguish between device motion feature vectors captured from different users; and authenticating the user of the user device, by using a resulting vector output of the neural network to determine whether the user-induced device motion matches an expected device motion pattern uniquely associated with an authorized user, the neural network having been trained based on device motion feature vectors captured from a group of training users, which does not include the authorized user.

Abstract: Anti-spoofing technology is provided for verifying a user of a fixed computer terminal. Image data of at least one verification image is received, as captured by an image capture device of the fixed computer terminal at a time corresponding to a request for access to a restricted function of the fixed computer terminal. User verification is applied to determine whether to grant access to the restricted function of the fixed computer terminal. A differential feature descriptor is determined, which encodes feature differences between the verification image data and image data of at least one unobstructed background image as captured by the image capture device. An anti-spoofing classifier processes the differential feature descriptor to classify it in relation to real and spoofing classes. Access to the restricted function of the fixed computer terminal is refused or granted based on the classification of the differential feature descriptor by the anti-spoofing classifier.

Abstract: A method of authorizing a secure electronic payment from a payer to a payee. At a digital identity system, an electronic message is received, which comprises a payer credential and identifies a payee system, and a digital identity associated with the payer credential is accessed, the digital identity comprising: 1) at least one identity attribute or data for deriving at least one identity attribute, and 2) a payment token or data for obtaining a payment token, the payment token for effecting an electronic payment from the payer to a recipient of the payment token. At least one electronic message is transmitted from the digital identity system to the payee system to render the identity attribute and the payment token available to the payee system, for determining, based on the identity attribute rendered available to the payee device, whether to use the available payment token to effect the electronic payment.

Abstract: A method of a digital identity system generating a sharing token for authenticating a bearer to a validator, wherein a data store of the digital identity system holds a plurality of attributes of the bearer, the method comprising implementing by the digital identity system the following steps: receiving at the digital identity system from a bearer an electronic sharing token request, wherein the token request identifies at least one of the bearer's attributes in the data store selected for sharing with a validator, in response to the electronic token request, generating a sharing token, which is unique to that request, for presentation by the bearer to a validator, associating with the unique sharing token at the digital identity system the identified at least one bearer attribute; and issuing to the bearer the unique sharing token; and wherein later presentation of the unique sharing token to the digital identify system by a validator causes the at least one bearer attribute associated with the sharing token