Systems, methods and devices for authentication of security devices having chaosmetrics features are disclosed. In one aspect, embodiments of the present disclosure include a method which can be implemented on a system to perform authentication of a security device. In one embodiment, the method includes detecting a scan of the security device by a user device, identifying a rotational orientation of the user device in relation to the security device and/or generating a fingerprint of the security device specific to the user device having the rotational orientation in relation to the security device. An image similarity index of an authentication scan of the security device and the fingerprint generated for the security device can be determined and a positive authentication result can be identified for the authentication request of the security device responsive to determination that the image similarity index exceeds a threshold value.

Systems and methods to perform validation of authentication of a security device in a decentralized network are disclosed. In one aspect, embodiments of the present disclosure include a method which can be implemented on a system to, identify telemetry associated with the successful authentication. The telemetry is further in a distributed ledger in the decentralized network and can be used to determine validity of an authentication attempt of the security device by a second user device.

Methods and apparatuses for detecting characteristics of a card include a method for identifying a card containing foil, the foil detection method comprising converting an image file depicting a card into a hue, saturation, value (“HSV”) colour space, applying a value mask to exclude a group of pixels from analysis that do not form an intensified brightness area, and comparing the number of remaining pixels against a threshold to determine whether the card contains foil. In another aspect, a method for assigning a condition grading to a card comprises converting an image file depicting a diffusely illuminated card into an HSV colour space, isolating a uniform portion of the converted image file, applying a value mask to the converted image file to exclude pixels forming an undamaged portion of the card, and comparing the number of remaining pixels to a plurality of grading thresholds to assign a condition grading.

The present invention comprises an enrolment method comprising steps of: acquisition (100) of an image showing a photograph itself showing an individual, extraction (102), from the image of a characteristic of the image other than a biometric model, obtaining (104) personal data of the individual other than by the image-processing algorithm, generation (106) of a reference datum (W) from the characteristic of the image and the obtained personal data, calculation (108) of an encoded datum (s) by application of an encoding procedure to the reference datum (W) and to a random datum (c), calculation (110) of a hash (h(c) of the random datum, storage (112) in a database of the datum encoded (s) in association with the hash. The invention also comprises an identity-control method using such stored data.

Embodiments relate to a non-fungible physical (NFP) item. The non-fungible physical (NFP) item comprises an identifier. The identifier is embedded and layered within the non-fungible physical item in an unplanned pattern. The identifier in the unplanned pattern is configured to provide high security against counterfeiting of the non-fungible physical (NFP) item. The identifier comprises at least one of a random marker and a unique marker. The unplanned pattern comprises at least one of a random pattern and a unique pattern. Further the non-fungible physical (NFP) item is registered as a non-fungible token on a blockchain. The NFP item is then paired with the non-fungible token for enabling two-way mutual authentication and enhanced authenticity. The pairing of the NFP item with the non-fungible token enables tracking condition, provenance, and grading of the NFP item.

The invention protects a content of a digital or physical document against forgery. It allows automatic detection of any modification in an arrangement of graphical symbols (e.g. a text) provided on a support (e.g. printed or displayed) with respect to an original arrangement by providing on the support reproducible verifiable data including a verification barcode, while eliminating redundancy between data inside the barcode and the graphical symbols, and resolving the problem of the size of the barcode when the size of the data for these graphical symbols is large.

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.

A method is provided for checking a substrate with a specified luminescent substance incorporated and/or applied areally. A substrate luminescent characteristic value for the substrate is ascertained, for which purpose a number N of luminescence intensity values are captured at respectively different locations on the value document, and the substrate luminescence characteristic value is ascertained in dependence on a rank order of the luminescence intensity values. It can be checked whether the substrate luminescence characteristic value meets a specified criterion.

An image captured for a currency note is preprocessed to correct pixel intensity values to expected pixel intensity values. The corrected image is passed to a currency validator for determining whether the currency not is genuine or non-genuine.

The disclosure relates generally to checks and other negotiable financial instruments and particularly to mitigating exposure to financial fraud. Specifically, the disclosure relates to systems and methods of authenticating checks issued by a first entity for the benefit of a third party.