Travel document validation using artificial intelligence and unsupervised learning
Systems, devices, methods, and instructions for travel document validation, including receiving data for one or more travel documents, generating a set of features for artificial intelligence model training, validating, and testing, upon receiving data for a plurality of travel documents, data from a first subset of travel documents is used to train an artificial intelligence model, a second subset of travel documents is used to validate the artificial intelligence model, and a third subset of travel documents is used to test the artificial intelligence model.
1. A travel document validation device, the travel document validation device comprising:
a processor; and
a non-transitory memory storing one or more programs for execution by the processor, the one or more programs including instructions for:
receiving data for one or more travel documents;
generating a set of features for artificial intelligence model training, validating, and testing;
upon receiving data for a plurality of travel documents, data from a first subset of travel documents is used to train an artificial intelligence model, a second subset of travel documents is used to validate the artificial intelligence model, and a third subset of travel documents is used to test the artificial intelligence model.
2. The travel document validation device according to claim 1 , wherein the received data is scanned.
3. The travel document validation device according to claim 1 , wherein the received data includes color, black-and-white, ultraviolet, and infrared spectra images.
4. The travel document validation device according to claim 1 , wherein the received data includes document type, issuer, issue date, expiration date, and/or biometrics for validation.
5. The travel document validation device according to claim 1 , wherein the received data includes an RFID.
6. The travel document validation device according to claim 1 , wherein the generated set of features is extracted from images of the one or more travel documents, extracted sub-images, text, and/or security markings.
7. The travel document validation device according to claim 1 , wherein the generated set of features can be extracted from biometric templates, encoded images, and/or checksums.
8. A non-transitory computer readable storage medium storing one or more programs configured to be executed by a processor, the one or more programs comprising instructions for:
receiving data for one or more travel documents;
generating a set of features for artificial intelligence model training, validating, and testing;
upon receiving data for a plurality of travel documents, data from a first subset of travel documents is used to train an artificial intelligence model, a second subset of travel documents is used to validate the artificial intelligence model, and a third subset of travel documents is used to test the artificial intelligence model.
9. The non-transitory computer readable storage medium according to claim 8 , wherein the received data is scanned.
10. The non-transitory computer readable storage medium according to claim 8 , wherein the received data includes color, black-and-white, ultraviolet, and infrared spectra images.
11. The non-transitory computer readable storage medium according to claim 8 , wherein the received data includes document type, issuer, issue date, expiration date, and/or biometrics for validation.
12. The non-transitory computer readable storage medium according to claim 8 , wherein the received data includes an RFID.
13. The non-transitory computer readable storage medium according to claim 8 , wherein the generated set of features is extracted from images of the one or more travel documents, extracted sub-images, text, and/or security markings.
14. A method for operating a travel document validation device, the method comprising:
receiving data for one or more travel documents;
generating a set of features for artificial intelligence model training, validating, and testing;
upon receiving data for a plurality of travel documents, data from a first subset of travel documents is used to train an artificial intelligence model, a second subset of travel documents is used to validate the artificial intelligence model, and a third subset of travel documents is used to test the artificial intelligence model.
15. The method according to claim 14 , wherein the received data is scanned.
16. The method according to claim 14 , wherein the received data includes color, black-and-white, ultraviolet, and infrared spectra images.
17. The method according to claim 14 , wherein the received data includes document type, issuer, issue date, expiration date, and/or biometrics for validation.
18. The method according to claim 14 , wherein the received data includes an RFID.
19. The method according to claim 14 , wherein the generated set of features is extracted from images of the one or more travel documents, extracted sub-images, text, and/or security markings.