FIELD: physics.
SUBSTANCE: invention relates to a personal identification system based on a face image formed by a convolutional artificial neural network. System comprises a module for receiving a digital description of an image of a person's face from the information output of a convolutional artificial neural network, a module for selecting addresses of personal identification data records in the system server database, a memory module, a module for receiving data reading addresses, a data comparison module, a module for receiving identification data from a database server, a module for issuing personal document data and a database server.
EFFECT: providing personal identification by face image.
1 cl, 4 dwg
| Title | Year | Author | Number | 
|---|---|---|---|
| SYSTEM FOR IDENTIFYING A PERSON BY A FACE IMAGE WITH THE ISSUANCE OF CERTIFYING DOCUMENTARY DATA | 2022 | 
 | RU2802157C1 | 
| USER IDENTITY DOCUMENT AUTHENTICATION SYSTEM | 2022 | 
 | RU2799404C1 | 
| SYSTEM FOR MONITORING INTEGRITY OF IDENTITY DOCUMENTS IN PROCESS OF IN-DEPTH COMPREHENSIVE VERIFICATION OF AUTHENTICITY OF DOCUMENTARY DATA | 2023 | 
 | RU2810681C1 | 
| USER AUTHENTICATION SYSTEM FOR REMOTE ACCESS TO PURCHASE OF GOODS AND SERVICES VIA MOBILE DEVICE | 2022 | 
 | RU2801439C1 | 
| SYSTEM WITH ACTIVE MULTISPECTRAL AUTHENTICATION OF THE IDENTITY OF USERS BY USER FACE | 2022 | 
 | RU2802172C1 | 
| SYSTEM FOR RECOGNIZING AUTHENTICITY OF DOCUMENTS DURING REMOTE IDENTIFICATION IN WEB APPLICATION ON MOBILE DEVICE | 2023 | 
 | RU2814032C1 | 
| SYSTEM OF A MULTI-LEVEL IDENTIFICATION AND IDENTIFICATION PROCEDURE USING OPTICAL RECOGNITION OF SUBMITTED DOCUMENTS | 2023 | 
 | RU2803027C1 | 
| AUTOMATED SYSTEM FOR RECORDING PERSONAL BIOMETRIC DATA OF PASSPORT AND VISA APPLICANTS | 2008 | 
 | RU2395838C1 | 
| SYSTEM OF MULTI-LEVEL VERIFICATION OF PERSONAL DATA FOR IDENTIFICATION | 2023 | 
 | RU2811371C1 | 
| SYSTEM FOR AUTHENTICATING DOCUMENTS WITH TRUSTED LOADING OF PERSONAL DATA OF USERS INTO SYSTEM SERVER DATABASE | 2023 | 
 | RU2824306C1 | 
Authors
Dates
2024-10-30—Published
2024-03-14—Filed