# US 12,225,136 B2 · Generating synthetic invisible fingerprints for metadata security and document verification using generative artificial intelligence > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,225,136 B2 - Document ID: US12225136B2 - Status: Granted - Kind: B2 - Application number: 17/869,190 - Filed: 2022-07-20 - Published: 2024-01-25 - Granted: 2025-02-11 - Earliest claimed: 2022-07-20 - Assignees: Bank of America Corporation - Applicants: Bank of America Corporation - Inventors: Sakshi Bakshi; Durga Prasad Kutthumolu - Web page: https://patentgrep.com/patent/US12225136B2 ## CPC - H04L 9/3231: {Biological data, e.g. fingerprint, voice or retina (network architectures or network communication protocols for supporting authentication of entities using biometrical features in a packet data network H04L63/0861)} - G06N 20/00: Machine learning - H04L 9/0852: {Quantum cryptography (transmission systems employing electromagnetic waves other than radio waves, e.g. light, infrared H04B10/00; wavelength-division multiplex systems H04J14/02; WDM arrangements H04J14/03)} - H04L 9/50: {using hash chains, e.g. blockchains or hash trees} - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract Aspects of the disclosure relate to generating synthetic invisible fingerprints for metadata security and document verification using generative artificial intelligence (AI). A computing platform may capture first fingerprint information via a computing device. The first fingerprint information may include one or more physical fingerprint images of a user. The computing platform may encode the first fingerprint information in accordance with a quantum key distribution scheme. The computing platform may store the encoded first fingerprint information in a data store. Based on the encoded first fingerprint information and using a generative artificial intelligence algorithm, the computing platform may generate second fingerprint information. The second fingerprint information may include one or more synthetic fingerprint images associated with the one or more physical fingerprint images of a user. The computing platform may transmit the second fingerprint information for smart contract generation. ## Claims ### Claim 1 A computing platform comprising: at least one processor; a communication interface communicatively coupled to the at least one processor; and memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: capture, via an extended reality capable device of a computing device, first fingerprint information comprising one or more biological fingerprint images of a user; encode the first fingerprint information in accordance with a quantum key distribution scheme; store the encoded first fingerprint information in a data store; generate, based on the encoded first fingerprint information and using a generative artificial intelligence algorithm, second fingerprint information, wherein the second fingerprint information comprises one or more synthetic fingerprint images associated with the one or more biological fingerprint images of a user, wherein the one or more synthetic fingerprint images are invisible to detection during transmission; and transmit the second fingerprint information for smart contract generation, wherein transmitting the second fingerprint information for smart contract generation comprises transmitting the second fingerprint information as data packets via an Internet-of-things device-to-device communication channel. ### Claim 2 (depends on 1) The computing platform of claim 1, wherein the memory stores additional computer-readable instructions that, when executed by the at least one processor, cause the computing platform to: cause generation of a smart contract on a blockchain based on the second fingerprint information. ### Claim 3 (depends on 1) The computing platform of claim 1, wherein the generative artificial intelligence algorithm comprises an unsupervised learning algorithm. ### Claim 4 (depends on 1) The computing platform of claim 1, wherein capturing the first fingerprint information comprises scanning the one or more biological fingerprint images of the user in an extended immersive environment that simulates physical presence. ### Claim 5 (depends on 1) The computing platform of claim 1, wherein storing the encoded first fingerprint information in the data store comprises storing the encoded first fingerprint information based on one or more predefined indexed categories. ### Claim 6 A method comprising: at a computing platform comprising at least one processor, a communication interface, and memory: capturing, by the at least one processor, via an extended reality capable device of a computing device, first fingerprint information comprising one or more biological fingerprint images of a user; encoding, by the at least one processor, the first fingerprint information in accordance with a quantum key distribution scheme; storing, by the at least one processor, the encoded first fingerprint information in a data store; generating, by the at least one processor, based on the encoded first fingerprint information and using a generative artificial intelligence algorithm, second fingerprint information, wherein the second fingerprint information comprises one or more synthetic fingerprint images associated with the one or more biological fingerprint images of a user, wherein the one or more synthetic fingerprint images are invisible to detection during transmission; and transmitting, by the at least one processor, the second fingerprint information for smart contract generation, wherein transmitting the second fingerprint information for smart contract generation comprises transmitting the second fingerprint information as data packets via an Internet-of-things device-to-device communication channel. ### Claim 7 (depends on 6) The method of claim 6, further comprising: causing, by the at least one processor, generation of a smart contract on a blockchain based on the second fingerprint information. ### Claim 8 (depends on 6) The method of claim 6, wherein the generative artificial intelligence algorithm comprises an unsupervised learning algorithm. ### Claim 9 (depends on 6) The method of claim 6, wherein capturing the first fingerprint information comprises scanning the one or more biological fingerprint images of the user in an extended immersive environment that simulates physical presence. ### Claim 10 (depends on 6) The method of claim 6, wherein storing the encoded first fingerprint information in the data store comprises storing the encoded first fingerprint information based on one or more predefined indexed categories. ### Claim 11 One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, a communication interface, and memory, cause the computing platform to: capture, via an extended reality capable device of a computing device, first fingerprint information comprising one or more biological fingerprint images of a user; encode the first fingerprint information in accordance with a quantum key distribution scheme; store the encoded first fingerprint information in a data store; generate, based on the encoded first fingerprint information and using a generative artificial intelligence algorithm, second fingerprint information, wherein the second fingerprint information comprises one or more synthetic fingerprint images associated with the one or more biological fingerprint images of a user, wherein the one or more synthetic fingerprint images are invisible to detection during transmission; and transmit the second fingerprint information for smart contract generation, wherein transmitting the second fingerprint information for smart contract generation comprises transmitting the second fingerprint information as data packets via an Internet-of-things device-to-device communication channel. ### Claim 12 (depends on 11) The one or more non-transitory computer-readable media of claim 11, further including instructions that, when executed, cause the computing platform to: cause generation of a smart contract on a blockchain based on the second fingerprint information. ### Claim 13 (depends on 11) The one or more non-transitory computer-readable media of claim 11, wherein the generative artificial intelligence algorithm comprises an unsupervised learning algorithm. ### Claim 14 (depends on 11) The one or more non-transitory computer-readable media of claim 11, wherein capturing the first fingerprint information comprises scanning the one or more biological fingerprint images of the user in an extended immersive environment that simulates physical presence.