The present disclosure relates to secure storage of a detailed set of elements relating to fingerprint features for a finger and to a method for authenticating a candidate fingerprint of a finger using said detailed set of elements, allowing for improved security and user convenience.

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).

A method of secure classification of input data by a convolutional neural network (CNN), including (a) determination, by application of the CNN to the input data, of a first classification vector associating with each of a plurality of potential classes a representative integer score of the probability of the input data belonging to the potential class, the first vector corresponding to one possible vector, each possible vector of the first set associating with each of the plurality of potential classes an integer score; (b) construction, from the first vector, of a second classification vector of the input data, such that the second vector also belongs to the first space of possible vectors and has a distance with the first vector according to a given distance function equal to a non-zero reference distance; and return of the second vector as result of the secure classification.

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.

Provided is a biological feature registration method. The method includes: performing privacy removal process on a first biological feature of a biological sample to obtain a second biological feature, where the second biological feature is a biological sample feature used for performing identity authentication.

Disclosed is a server for performing authentication or identification using biometric information including basic information and detailed information includes a storage for storing basic information and detailed information that are separately encrypted for each of a plurality of users, a communicator for communicating with an external device, and a processor configured to, based on separately encrypted basic information and detailed information being received from an external terminal device through the communicator, performing user authentication or user identification for the received basic information and detailed information by decrypting and comparing the stored encrypted basic information and the received encrypted basic information, and comparing the received detailed information with at least one piece of stored detailed information corresponding to a piece of basic information having a degree of similarity that is higher than or equal to a predetermined value and with the received basic information among the stored basic information.

The present disclosure provides an efficient system for cancelable biometric template protection which is not available in the conventional systems. Initially, the system receives a biometric template from a user. The biometric template is one of, a face image, a fingerprint, an iris image and a palmprint. Further, a vector embedding is computed based on the biometric template using a pretrained neural network. After computing the vector embedding, a key based permutation is computed based on the vector embedding and a permutation key. The permutation key is generated based on an Identification number (ID) associated with the user using a random number based key generation technique. Finally, a protected biometric template is generated by computing a permuted embedding corresponding to the biometric template based on the key based permutation using a plurality of fully connected layers pretrained using a weight based center triplet loss function.

Embodiments of the inventive concept provide a system and method that verifies a user through a security token combined with biometric information processing techniques capable of changing and canceling the conventional encryption key without storing biometric information-related data corresponding to a user's personal information.

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.

Apparatuses, methods, systems, and program products are disclosed for capturing an image and determining whether a switch is in a filtering position or a non-filtering position. When the switch is in the filtering position, the camera apparatus detects a switch position and determines whether the switch is in the filtering position or the non-filtering position. The camera captures the image, including audio/visual signals, while the switch is detected to be in the filtering position and modifies the image to inhibit biometric data collection from the image in response to the switch being in the filtering position when the image is captured.