Methods, systems, and devices are provided for authentication system configured to authenticate a document. According to one aspect, the system can receive image capture data including one or more virtual images of the document. The system can detect one or more identification indicators in the one or more virtual images. The system can detect one or more authentication indicators in the one or more virtual images. And the system can detect whether the document is authentic based on a result including analyzing the one or more identification indicators and analyzing the one or more authentication indicators.

In a general aspect, orientation information is used to generate a unique code. In some aspects, orientation information is extracted from an object. The object includes multiple elements, and the orientation information indicates the relative spatial orientations of the respective elements. The orientation information can be extracted, for instance, by a scanner system that detects the elements. A unique code is generated for the object based on the orientation information. In some examples, the elements are diamond particles that each have one or more color centers, and the orientation information is extracted by detecting the color centers.

In some embodiments, an authentication system may be configured to process one or more tokens that incorporates one or more tailored-wavelength-range coded patterns, codes represented within a steganographic image, or “overlapping” codes. As an example, such a token may include (i) one or more invisible-ink-printed patterns printed using infrared ink corresponding to different tailored wavelength ranges within the infrared light spectrum, (ii) one or more steganographic images in which invisible-ink-printed patterns are interweaved within the steganographic images, (iii) visible-ink-printed patterns and invisible-ink-printed patterns printed substantially within the visible ink portions of the visible-ink-printed patterns, or (iv) other features, where the invisible-ink-printed patterns correspond to one or more authentication codes or other data for token authentication.

An image processing method, for an identity document that comprises a data page, comprises acquiring a digital image of the page of data of the identity document. The method further comprises assigning a class or a super-class to the candidate identity document via automatic classification of the digital image by a machine-learning algorithm trained beforehand on a set of reference images in a training phase; processing the digital image to obtain a set of at least one intermediate image the weight of which is lower than or equal to the weight of the digital image; applying discrimination to the intermediate image using a discriminator neural network; and generating an output signal as output from the discriminator neural network, the value of which is representative of the probability that the candidate identity document is an authentic document or a fake.

An image processing method, for an identity document that comprises a data page, comprises acquiring a digital image of the page of data of the identity document. The method further comprises assigning a class or a super-class to the candidate identity document via automatic classification of the digital image by a machine-learning algorithm trained beforehand on a set of reference images in a training phase; processing the digital image to obtain a set of at least one intermediate image the weight of which is lower than or equal to the weight of the digital image; applying discrimination to the intermediate image using a discriminator neural network; and generating an output signal as output from the discriminator neural network, the value of which is representative of the probability that the candidate identity document is an authentic document or a fake.

Methods, apparatuses, and computer program products are disclosed for currency control. An example computer-implemented method includes receiving physical currency data associated with one or more physical currency notes and generating digital currency data based upon the physical currency data. The digital currency data includes a digital representation of the physical currency notes. The computer-implemented method further includes determining one or more selected physical currency notes for destruction based upon the digital currency data and may include querying a currency attribute database that includes one or more currency attributes associated with the physical currency notes. The computer-implemented method also includes causing destruction of the selected physical currency notes. In response to causing destruction of the selected physical currency notes, the computer-implemented method includes modifying the currency attribute database.

A method for determining the validity of a parallax image, comprising: receiving a captured two-dimensional image of a parallax image having at least three target identifiers, where at least two target identifiers are located at different depth planes in the parallax image; identifying the at least three target identifiers in the captured two-dimensional image of the parallax image and determining the spatial relationship between the at least three target identifiers in the two-dimensional image of the parallax image; comparing the spatial relationship of the at least three target identifiers in the captured two-dimensional image of the parallax image against a predetermined spatial relationship of the at least three target identifiers that indicates authenticity; and adjudicating the authenticity of the parallax image based on the degree of difference between the spatial relationship of the at least three target identifiers in the captured two-dimensional image of the parallax image and the predetermined spatial relationship of the at least three target identifiers.

An image processing method, for an identity document that comprises a data page, comprising comprises acquiring a digital image of the page of data of the identity document. The method further comprises assigning a class or a super-class to the candidate identity document via automatic classification of the digital image by a machine-learning algorithm trained beforehand on a set of reference images in a training phase; processing the digital image to obtain a set of at least one intermediate image the weight of which is lower than or equal to the weight of the digital image; applying discrimination to the intermediate image using a discriminator neural network; and generating an output signal as output from the discriminator neural network, the value of which is representative of the probability that the candidate identity document is an authentic document or a fake.

Methods, systems, and devices are provided for authentication system configured to authenticate a document. According to one aspect, the system can receive image capture data including one or more virtual images of the document. The system can detect one or more identification indicators in the one or more virtual images. The system can detect one or more authentication indicators in the one or more virtual images. And the system can detect whether the document is authentic based on a result including analyzing the one or more identification indicators and analyzing the one or more authentication indicators.

In a general aspect, orientation information is used to generate a unique code. In some aspects, orientation information is extracted from an object. The object includes multiple elements, and the orientation information indicates the relative spatial orientations of the respective elements. The orientation information can be extracted, for instance, by a scanner system that detects the elements. A unique code is generated for the object based on the orientation information. In some examples, the elements are diamond particles that each have one or more color centers, and the orientation information is extracted by detecting the color centers.