Biometric data profiles for users of a vehicle are managed according to an enrollment mode and a maintenance mode. The enrollment mode includes 1) authenticating a respective authorized user, 2) transferring a respective biometric profile to an encrypted biometric memory, 3) specifying a sunset time for automatic deletion of the respective biometric profile, 4) establishing an activity window, and 5) establishing a deferral period. The maintenance mode includes 1) deleting a respective biometric profile upon occurrence of the respective specified sunset time, 2) detecting vehicle access in response to a stored biometric profile during a respective activity window of the respective authorized user, and 3) automatically extending the respective sunset time according to the respective deferral period if the detected vehicle access during the respective activity window meets a respective threshold.

Image data is run through a neural network, and the neural network produces a vector representation of the image data. Random sparse sampling masks are created. The vector representation of the image data is masked with each of the random sparse sampling masks, the masking generating corresponding sparsely sampled vectors. The sparsely sampled vectors are transmitted to nodes of a consensus network, wherein a sparsely sampled vector of the sparsely sampled vectors is transmitted to a node of the consensus network. Votes from the nodes of the consensus network are received. Whether a consensus is achieved in the votes is determined. Responsive to determining that the consensus is achieved, at least one of identification and verification of the image data may be provided.

Provided is a process that includes: receiving, with a first device, a request to authenticate a user; obtaining, with the first device, an unstructured-data authentication input; extracting, with the first computing device, a plurality of features of the unstructured-data authentication input to form a structured-data representation; determining, with the first device, a first instance of a value that deterministically varies; and determining, with the first device, a first encrypted value based on both the structured-data representation and the first instance of the value that deterministically varies; and sending, with the first device, the first encrypted value to a second computing device.

Image data is run through a neural network, and the neural network produces a vector representation of the image data. Random sparse sampling masks are created. The vector representation of the image data is masked with each of the random sparse sampling masks, the masking generating corresponding sparsely sampled vectors. The sparsely sampled vectors are transmitted to nodes of a consensus network, wherein a sparsely sampled vector of the sparsely sampled vectors is transmitted to a node of the consensus network. Votes from the nodes of the consensus network are received. Whether a consensus is achieved in the votes is determined. Responsive to determining that the consensus is achieved, at least one of identification and verification of the image data may be provided.

Technologies and techniques for biometrically authenticating a user for an apparatus. User biometric data is generated via a biometric capture device. A processor processes the user biometric data to generate one or more biometric templates. A memory stores the biometric templates and one or more previously generated biometric templates. A biometric manager module associates executable applications with respective biometric templates, wherein the processor matches one of the biometric templates with the previously generated biometric templates to determine if the matched biometric template is associated with the executable application. The processor generates at least one of a password and/or a cryptographic key for allowing access to the associated executable application based on the matched biometric template.

Methods and systems for performing demographics filtering based on biometric information are disclosed. An access terminal can capture a biometric instance corresponding to a user, such as a fingerprint scan, iris scan, etc. The access terminal can determine demographics information from the biometric instance, such as the age, biological sex, or ethnicity of the user. The access terminal can compare the demographics information to demographics information stored on a group of mobile devices corresponding to a group of users, in order to identify candidate user mobile devices. Once candidate user mobile devices are identified, the access terminal can perform a biometric match between the biometric instance corresponding to the user and biometric instances stored on the candidate user mobile devices. Once a biometric match and the corresponding mobile device are determined, the access terminal can conduct a further interaction with the mobile device.

A system receives a source and a metadata layer that describes the source. The source may comprise source records with fields containing source data, and the metadata layer may include metadata comprising at least one of a field data type, a field data length, a field description, or a record length. The processor may further validate the metadata layer against the source and write results to a log. The processor may further be configured for transforming the source records into transformed records for a load ready file. The processor may further balance a number of records in the source against a number of transformed records in the load ready file to generate a transformation failure rate.

Systems and methods for de-identification of medical images can be applied to medical images acquired using various techniques. A 3D medical image can be analyzed to generate an image mask that partitions the image into a foreground region and a background region. From the image mask, a skin surface can be reconstructed based on the boundary between the foreground region and the background region. The image mask can be modified, e.g., by moving a randomly-selected subset of the voxels from the foreground region to the background region so that the shape of the skin surface is altered, thus obscuring patient-identifying features. The original medical image can be modified by changing the intensity of voxels in the background region while preserving the original intensity of voxels in the foreground region.

The present invention relates to a method for enrolling an individual with a view to processing biometric data of the individual by a processor and by a secure element, comprising the following steps implemented by the processor from a reference biometric data acquired on the individual: obtaining a logical object calculated from the reference biometric data and from a key, said logical object making it possible to subsequently reconstruct said key from an acquired biometric data if a distance between the reference biometric data and the acquired biometric data is less than a threshold, said logical object being referred to as helper data, transmitting the key to the secure element.

The processor and the secure element are for example embedded on the same physical medium.

Fingerprint encryption method and device, fingerprint decryption method and device, storage medium and terminal are provided. The fingerprint encryption method includes: acquiring a fingerprint image; dividing the fingerprint image into a plurality of block images according to a preset window, wherein a size of the block image is the same with a size of the preset window; determining identifiers of the plurality of block images, wherein the identifiers of the plurality of block images have a first preset order; and determining, according to the identifiers of the plurality of block images and a received encryption order, a plurality of encrypted block images to obtain an encrypted fingerprint image. Security of fingerprint storage or fingerprint transmission is enhanced.