A biometric authentication platform uses fault-tolerant distributed computing to determine if a supplied biometric live scan and template are from the same person. Features provide additional protection for biometric data. The template and live scan may be encrypted using a symmetric encryption key. The encrypted template and live scan may be sent with copies of the symmetric key, each copy further encrypted by a public key associated with one processor's public-private key pair. Each processor may decrypt a copy of the symmetric key, which may then be used by the processor for decrypting the live scan and template for matching. A decentralized user ledger may store an encrypted copy of the biometric template, with the key stored locally in a registered device. Alternatively, a decentralized user ledger may store a hash of the biometric template, for verification of a template that is maintained on a registered device.

Systems and methods for secure image embeddings in accordance with embodiments of the invention are illustrated. One embodiment includes a method for storing image embedding data. The method includes steps for generating an image embedding vector, performing a set of one or more obfuscation methods on the generated image embedding vector to generate an obfuscated image embedding, and storing the obfuscated image embedding vector.

A biometric authentication platform uses fault-tolerant distributed computing to determine if a supplied biometric sample and a template sample, which may be stored in a registry, are from the same person. Samples may be subdivided and assigned to Sub-Sample Processing Clusters for processing in parallel to determine sub-results. A consensus authentication result may then be determined by the processing cluster based upon the sub-results.

In accordance with some embodiments, an apparatus that controls sensor paths for privacy protection is provided. The apparatus includes a housing arranged to hold a second device. The apparatus obtains first sensor data that includes a biometric marker associated with a user. The apparatus controls sensor paths by obtaining the first sensor data using sensors on the second device, on the apparatus, and/or on a supplemental functional device. The apparatus further generates second sensor data by masking the biometric marker associated with the user in the first sensor data. The apparatus additionally controls the sensor paths by providing the second sensor data from the first apparatus to the second device.

Conventionally, biometric template protection has been achieved to improve matching performance with high levels of security by use of deep convolution neural network models. However, such attempts have prominent security limitations mapping information of images to binary codes is stored in an unprotected form. Given this model and access to the stolen protected templates, the adversary can exploit the False Accept Rate (FAR) of the system. Secondly, once the server system is compromised all the users need to be re-enrolled again. Unlike conventional systems and approaches, present disclosure provides systems and methods that implement encrypted deep neural network(s) for biometric template protection for enrollment and verification wherein the encrypted deep neural network(s) is utilized for mapping feature vectors to a randomly generated binary code and a deep neural network model learnt is encrypted thus achieving security and privacy for data protection.

An apparatus includes a memory of a user device and a processor of the user device. The processor is configured to capture an image using an image capture device of the user devices and broadcast a request signal within a range of the user device. The request signal is a request for facial data from compute devices within the range. The processor is configured to receive, in response to the request signal, facial data from each compute device from a set of compute devices within the range and perform, using the facial data received from each compute device from the set of compute devices, facial recognition on the image to identify a match between the facial data from a subset of compute devices from the set of compute devices and facial data from the image. The processor is configured to transmit the image to the subset of compute devices.

The disclosed embodiments include computerized methods and systems that facilitate two-factor authentication of a user based on a user-defined image and information identifying portions of the image sequentially selected by the user. In one aspect, a communications device presents a first digital image of a first user on a touchscreen display. The communications device may receive, from the first user, information identifying portions of the first digital image selected in accordance with a candidate authentication sequence established by the first user. The selected first image portions may, for example, be associated with corresponding facial features of the first user. The communications device may determine whether the candidate authentication sequence matches a reference authentication sequence associated with the first digital image, and may authenticate an identity of the first user, when the first selection sequence is determined to match the second selection sequence.

A fingerprint sensing system. The fingerprint sensing system includes: at least one sensor; at least one display device; at least one application processor; and at least one secure enclave processor. The application processor(s) receives fingerprint data from the sensor(s) and provides the fingerprint data to the secure enclave processor(s). The secure enclave processor(s) decodes the fingerprint data and provides a signal indicative of at least one matched node. The application processor(s), responsive to receipt of the signal indicative of the matched node(s), presents at least a portion of a synthetic fingerprint image via at least one display device corresponding to the matched node(s).

The present disclosure generally relates to a method for authenticating a user by means of an electronic device, where the electronic device comprises a first and a second control unit adapted to process a biometric representation from a biometric sensor. Preferably, the second control unit comprises a secure element and/or a secure block adapted to provide a secure processing environment. The present disclosure also relates to a corresponding electronic device and to a computer program product.

A face recognition system is provided. The face recognition system includes an electronic device and terminal server. The electronic device comprising: a camera, exposed outside the electronic device; and a scanning unit, scanning a user face through the camera to obtain a user face feature data. The terminal server communicated with the electronic device, comprising: a two-dimensional code generation unit, generating a user two-dimensional code according to the user face feature data; a two-dimensional code database, comprising a plurality of member two-dimensional codes; and a comparison unit, comparing the user two-dimensional code with each of the member two-dimensional codes.