Patent ID: 11928847
Assignee: ELM COMPANY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. The method according to claim 1, further comprises:
capturing, sequentially at a third set of placement angles which are different from each other, a third set of photo images of a security feature of a second unknown document that is placed under the illumination condition, wherein the second unknown document is of the document genre and whose authenticity is to be determined;
for each of the third set of photo images, estimating, by using the computer-implemented machine learning algorithm, an angle of the second unknown document being held at the time when the photo image was captured, and aggregating the angle in association with the photo image of the third set of photo images into a third set of estimated angles, and storing the third set of estimated angles along with the third set of photo images;
determining the authenticity of the second unknown document by applying the learned model on the third set of images and the third set of estimated angles, wherein the applying the model at least involves comparing a piece of descriptive information about the security feature of the second unknown document that is encoded in the learned model as a part of the document's angular responses of the document genre under the illumination condition, with a piece of information about the security feature of the second unknown document extracted from the third set of the photo images and the third set of estimated angles, wherein the comparing step produces a second confidence value, and if the second confidence value is below the pre-determined confidence threshold, the second unknown document is determined to be unauthentic, otherwise the second unknown document is determined to be authentic with regard to the security feature of the second unknown document.