A method for determining authenticity of a document in real-time is disclosed. The method being performed by a processor includes receiving image data of a document. The image data corresponds to at least two images of the document taken simultaneously using at least two cameras. The method includes analyzing the image data to determine a plurality of measurements corresponding to the document along three dimensions. The method includes a thickness at a plurality of location points on the document based on the plurality of measurements, and determining authenticity of the document in real-time based on the determined thickness of the document at the plurality of location points.

A method for determining authenticity of a document in real-time is disclosed. The method being performed by a processor includes receiving image data of a document. The image data corresponds to at least two images of the document taken simultaneously using at least two cameras. The method includes analyzing the image data to determine a plurality of measurements corresponding to the document along three dimensions. The method includes a thickness at a plurality of location points on the document based on the plurality of measurements, and determining authenticity of the document in real-time based on the determined thickness of the document at the plurality of location points.

Aspects described herein may allow for a payment card assembly including a payment card having a first surface, an opposed second surface, and an aperture extending through the payment card from the first surface to the second surface. An insert may be removably received in the aperture. Each of a plurality of identification elements may be configured to be removably received in the aperture and have an identification characteristic different than an identification characteristic of each of the other identification elements.

Aspects described herein may allow for a payment card assembly including a payment card having a first surface, an opposed second surface, and an aperture extending through the payment card from the first surface to the second surface. An insert may be removably received in the aperture. Each of a plurality of identification elements may be configured to be removably received in the aperture and have an identification characteristic different than an identification characteristic of each of the other identification elements.

A redundantly printed security-enhanced document, printing method, and system for better ensuring that the meaning of the information imparted by variable indicia printed by redundant printing indicia on a document protected by a removable Scratch-Off Coating (SOC). By printing the variable indicia with multiple colors, redundancy and integrity of the intended indicia is achieved relative to the perception of human eye photoreceptor cones. The redundantly printed document, methods, and systems enhance the overall appearance of the redundantly printed document, and reduce possible consequences resulting from misprinted variable indicia.

An identification card authenticity determining method based on deep learning according to the disclosure for automatically checking authenticity of an identification card includes: inputting identification card data to a feature information extraction model to extract pieces of feature information, expressing an indicator for checking authenticity of the identification card, from the identification card data; inputting the extracted pieces of feature information to a classification model to determine authenticity of the identification card; and when it is determined that the identification card is falsified, extracting a class activation map, where a falsification region of the identification card data is activated, from the pieces of feature information.

An identification card authenticity determining method based on deep learning according to the disclosure for automatically checking authenticity of an identification card includes: inputting identification card data to a feature information extraction model to extract pieces of feature information, expressing an indicator for checking authenticity of the identification card, from the identification card data; inputting the extracted pieces of feature information to a classification model to determine authenticity of the identification card; and when it is determined that the identification card is falsified, extracting a class activation map, where a falsification region of the identification card data is activated, from the pieces of feature information.

An identification card authenticity determining method based on deep learning according to the disclosure for automatically checking authenticity of an identification card includes: inputting identification card data to a feature information extraction model to extract pieces of feature information, expressing an indicator for checking authenticity of the identification card, from the identification card data; inputting the extracted pieces of feature information to a classification model to determine authenticity of the identification card; and when it is determined that the identification card is falsified, extracting a class activation map, where a falsification region of the identification card data is activated, from the pieces of feature information.

An identification card authenticity determining method based on deep learning according to the disclosure for automatically checking authenticity of an identification card includes: inputting identification card data to a feature information extraction model to extract pieces of feature information, expressing an indicator for checking authenticity of the identification card, from the identification card data; inputting the extracted pieces of feature information to a classification model to determine authenticity of the identification card; and when it is determined that the identification card is falsified, extracting a class activation map, where a falsification region of the identification card data is activated, from the pieces of feature information.

A visual-information security system that includes an information security label positioned to conceal visual information on a substrate. The information security label may include a spiral-shaped cut (or other complex shape) within the body of the label and a pull-tab, such that when a user pulls on the tab, the label peels off of the substrate in a spiral pattern, revealing the information concealed beneath the label. The complex-shaped cut makes reapplication of the label difficult and evident, thus providing security to consumers. The label may include multiple layers of material, for example, a peel-off layer and an adhesive layer.