A system comprising: a check image Record (CIR) database configured to store, for each of a plurality of accounts, a CIR, wherein each CIR comprises feature information related to features extracted from a plurality of reference checks associated with the associated account of the plurality of accounts; memory configured to store instructions; and a processor coupled with the CIR database and the memory, the processor configured to run the instructions, which cause the processor to: receive an image of a test check associated with an account of the plurality of accounts, extract feature information from the image, compare the features with the feature information stored in the CIR database for the account associated with the test check, generate a fraud score, and update each CIR by determining.

A system comprising: a check image Record (CIR) database configured to store, for each of a plurality of accounts, a CIR, wherein each CIR comprises feature information related to features extracted from a plurality of reference checks associated with the associated account of the plurality of accounts; memory configured to store instructions; and a processor coupled with the CIR database and the memory, the processor configured to run the instructions, which cause the processor to: receive an image of a test check associated with an account of the plurality of accounts, extract feature information from the image, compare the features with the feature information stored in the CIR database for the account associated with the test check, generate a fraud score, and update each CIR by determining.

A method of inspecting a substantially transparent light control layer for an optically variable security device and a corresponding inspection apparatus, the substantially transparent light control layer including a surface relief defined by an array of substantially transparent refractive microstructures. The method includes: directing a beam of substantially collimated light towards a first region that is expected to contain the surface relief of the light control layer so as to generate an inspection light pattern; providing reference data that is indicative of a light control layer that meets a predetermined quality threshold; comparing the inspection light pattern with the reference data; and determining whether the light control layer meets the predetermined quality threshold based on the comparison.

In one exemplary embodiment in accordance with the disclosure, an image processing system is configured to use a distance authentication template to execute a detection procedure that detects at least one non-linear distortion in a subject image. The distance authentication template can be generated by mapping a set of spatial coordinates of three features in a distortion-free image to a set of pixel coordinates of the three features in the distortion-free image. Addressing a non-linear distortion in the subject image can include performing remedial actions to remedy the non-linear distortion, or taking into consideration the non-linear distortion when using the distance authentication template to identify one or more features in the subject image.

In one exemplary embodiment in accordance with the disclosure, an image processing system is configured to use a distance authentication template to execute a detection procedure that detects at least one non-linear distortion in a subject image. The distance authentication template can be generated by mapping a set of spatial coordinates of three features in a distortion-free image to a set of pixel coordinates of the three features in the distortion-free image. Addressing a non-linear distortion in the subject image can include performing remedial actions to remedy the non-linear distortion, or taking into consideration the non-linear distortion when using the distance authentication template to identify one or more features in the subject image.

A method of unambiguous identification and authentication of products for the purpose of better recognition of product forgeries and controlling product piracy, including applying to/into the product an identification substance admixture which contains paramagnetic phases or identifying a product which contains an identification substance admixture containing paramagnetic phases and has an ESR fingerprint spectrum that permits unambiguous identification of the product. Such an ESR fingerprint spectrum is easily measurable, but can be copied or forged only with difficulty. The method relates to an individualizable “femto tag” for femto ledgers and forms an important interface for what are known as “Internet of Things” (IOT).

The invention relates to a method for assessing contrasts on surfaces (2), in particular for optically identifying structured and/or pictorial surfaces (2), e.g. of paintings (1) or sculptures, said method being simple to use independently of the location and safe. For this purpose, the method involves the steps of—focusing a camera (5) onto a prominent image dot (3) on the surface, —creating at least two images of a recognizable, high-contrast area of the image dot (3), —storing the image having the greatest depth of detail as a reference image.

The invention relates to a method for recognizing surfaces (2), in particular for optically recognizing or identifying structured and/or pictorial surfaces (2), said method involving the steps of —focusing a camera (5) onto a prominent image dot (3) on the surface (2), —creating at least one live video stream of a recognizable, high-contrast area of the image dot (3), and —guiding the camera (5) to the image frame of the video having the greatest depth of detail by focusing a camera (5) onto a prominent image dot (3) on the surface (2) to be sensed, —creating at least two images of a recognizable, high-contrast area of the image dot (3), —storing the image having the greatest depth of detail as a reference image, —analyzing each image frame of the live video stream, —comparing the image frame having the greatest depth of detail with a target image or reference image.

An identification device includes: an observation object shape frame display configured to display, on a display screen, an observation object shape image indicating a shape of an anti-counterfeit medium observed at an observation angle, and display image data that is an image of an imaging object of an image-capturing device, the anti-counterfeit medium being designed such that an observed pattern of light varies as the observation angle varies; a shape similarity calculator configured to calculate a shape similarity between the observation object shape image and an outer shape of the anti-counterfeit medium; and an imaging determinator configured to perform imaging determination as to whether the observation angle and an observation position of the image-capturing device are correct based on whether the shape similarity is equal to or greater than a shape similarity threshold.

An identification device includes: an observation object shape frame display configured to display, on a display screen, an observation object shape image indicating a shape of an anti-counterfeit medium observed at an observation angle, and display image data that is an image of an imaging object of an image-capturing device, the anti-counterfeit medium being designed such that an observed pattern of light varies as the observation angle varies; a shape similarity calculator configured to calculate a shape similarity between the observation object shape image and an outer shape of the anti-counterfeit medium; and an imaging determinator configured to perform imaging determination as to whether the observation angle and an observation position of the image-capturing device are correct based on whether the shape similarity is equal to or greater than a shape similarity threshold.