Abstract: A method is provided for feature-based optical character recognition (OCR) for identification documents. The method comprises capturing an image of an identification document containing a photograph of a subject and at least one watermark image; applying facial recognition algorithms to detect and identify a set of facial features within the photograph, thereby obtaining a set of identified facial features, wherein said facial features are selected from the group consisting of eyes, lips, and ears; locating and extracting the photograph of the subject, independently of predefined template coordinates, based on the set of identified facial features; utilizing a gradient-based analysis to differentiate between the photograph and the at least one watermark image based on gradient intensity variations; and using the extracted photograph and associated data in at least one identity verification application.

Abstract: A method (101) securely generates, stores, and manages cryptographic keys in an HRoT-enabled system. The method includes generating a cryptographic key (103) using a TRNG (121), combining the key with a user-defined PIN and a biometric hash (105), and applying an HMAC operation (141) to produce a cryptographically secure, irreversible key (143). Shamir's Secret Sharing (151) divides the HMAC-generated key into multiple shares (109) such that a threshold number of shares (153) is required for reconstruction. The shares (111) are distributed across secure storage locations (161), with at least one share stored within the HRoT environment (163). A recovery mechanism (113) retrieves and combines the required shares within the HRoT (171) to reconstruct the original cryptographic key following successful user authentication (173).

Abstract: A method for conditional access to encrypted data based on geographic location is provided. The method includes generating an encrypted data file for secure information storage; associating the encrypted data file with a geolocation-based access condition, said access condition defined by a first set of geographic coordinates and a first altitude; generating and storing a unique access hash based on the access condition; receiving a request to decrypt the data file at a target location defined by a second set of geographic coordinates and a second altitude; generating a target location hash based on the target location; comparing the access hash and the target location hash; and decrypting the data file if the target location hash matches the access hash within a predefined threshold.

Abstract: A system is provided for selective data access management. The system comprises a content sharing module configured to share a complete digital content file with a recipient device; an encryption module configured to encrypt discrete byte streams within the digital content file based on designated access rules; and a decryption module on the recipient device configured to decrypt only the designated byte streams based on access rules, thereby enabling selective access to specific portions of the digital content file.

Abstract: A system is provided which includes a plurality of users, each having a mobile Web3 node associated therewith, wherein each mobile Web3 node is equipped with a tangible, non-transient memory device having a set of software instructions recorded. The software instructions, when executed by at least one compute processor, perform the steps of establishing a hardware root of trust, establishing a biometric binding which is unique among the mobile Web3 nodes, and creating an AI with a user interface. The user interface receives input from a user and uses the input to generate privacy preserved zero-ID transactions, and to create a private chain network on the mobile Web3 node to establish and secure a P2P control channel for all communication with at least some of the plurality of users.

Abstract: Disclosed is a method, system and computer readable medium for performing a transaction in relation to an identity centric dataset.