A method for checking the authenticity of products, by checking an image (A) of a product. The proof of authenticity is not visible to the human eye and cannot be copied. This is characterized in that a code stored in a halftone image by manipulation of dots and/or a manipulated field bounded in the halftone image can be read by means of an optical device and compared with a retrievable value in at least one database. In at least one field (F1 to F5) a part of a serial number is determined which describes the structure of the serial number and a hash function used for transmitting the serial number to the database, and this is also characterized in that the serial number is subsequently assembled and encrypted with the corresponding hash function.

In a banknote inspection device, a storage unit stores a first learning model generated using an image of a character with a hole as training data, and a second learning model generated using an image of a character without a hole as training data, and a recognition unit recognizes a serial number character that is a character forming a serial number of a banknote by using the first learning model when a character image, which is as image of the serial number character, has a hole, and recognize the serial number character by using the second learning model when the character image does not have a hole.

In a banknote inspection device, a storage unit stores a first learning model generated using an image of a character with a hole as training data, and a second learning model generated using an image of a character without a hole as training data, and a recognition unit recognizes a serial number character that is a character forming a serial number of a banknote by using the first learning model when a character image, which is as image of the serial number character, has a hole, and recognize the serial number character by using the second learning model when the character image does not have a hole.

A method of detecting a counterfeit item using a contactless scanner includes contactlessly scanning at least a portion of an item to generate a scanned image of the at least a portion of the item, wherein the at least a portion of the item comprises a graphic, identifying elements in the scanned image that correspond to elements in the graphic, measuring the identified elements to generate a plurality of element measurements, determining whether the item is counterfeit based on a comparison between at least one element measurement of the plurality of element measurements and at least one reference element measurement that is associated with an authentic version of the item, and in response to determining that the item is counterfeit, generating an alert indicating a detection of a counterfeit item.

A concentric CRR sensor is claimed that is used as a form of currency verification in order to combat counterfeiting currency. The system comprises applying sets of concentric CRR printed with transparent conductive ink. In one embodiment, using the CRR as a passive RFID tag, changing the ring's radii, inner or outer, and in turn, created more encryption, and thereby prevents currency counterfeiting. In one or more embodiments, the serial number of the currency bill is used as a guideline to a selection algorithm to determine the size of the radii.

In one implementation, a processor: (1) receives an image of a candidate mark from an image acquisition device, (2) uses the image to measure one or more characteristics at a plurality of locations on the candidate mark, resulting in a first set of metrics, (3) removes, from the first set of metrics, a metric having a dominant amplitude, resulting in a trimmed first set of metrics, (4) retrieves, from a computer-readable memory, a second set of metrics that represents one or more characteristics measured at a plurality of locations on an original mark, (5) removes, from the second set of metrics, a metric corresponding to the metric removed from the first set of metrics, resulting in a trimmed second set of metrics, (6) compares the trimmed first set of metrics with the trimmed second set of metrics, and (7) determines whether the candidate mark is genuine based on the comparison.

An identification device of the present invention determines authenticity of an article with an anti-counterfeiting medium varying in a pattern of observed light depending on changes in light characteristics of radiated light, using the anti-counterfeiting medium. The identification device includes a similarity calculation unit that determines the degrees of similarity between a plurality of captured image data of the anti-counterfeiting medium obtained with differences in the light characteristics of the radiated light and reference image data corresponding to the light characteristics; and an authenticity determination unit that determines whether the degrees of similarity determined for the individual light characteristics exceed thresholds set corresponding to the individual light characteristics to make an authenticity determination on whether the anti-counterfeiting medium is genuine.

An identification device of the present invention determines authenticity of an article with an anti-counterfeiting medium varying in a pattern of observed light depending on changes in light characteristics of radiated light, using the anti-counterfeiting medium. The identification device includes a similarity calculation unit that determines the degrees of similarity between a plurality of captured image data of the anti-counterfeiting medium obtained with differences in the light characteristics of the radiated light and reference image data corresponding to the light characteristics; and an authenticity determination unit that determines whether the degrees of similarity determined for the individual light characteristics exceed thresholds set corresponding to the individual light characteristics to make an authenticity determination on whether the anti-counterfeiting medium is genuine.

In some implementations, a system is capable of generating identifications that include distinctive line patterns corresponding to different portions of secure customer information. Data indicating an input image, and a dithering matrix representing a two-dimensional array of pixel values is obtained. Pixel values of pixels included in the input image are transformed using the dithering matrix. For each pixel within the input image, the transformation includes identifying a particular pixel value within the dithering matrix that represents a particular pixel within the input image, and adjusting an intensity value of the particular pixel based on attributes of the dithering matrix. A transformed image is generated based on the transformation and then provided for output.

In some implementations, a system is capable of generating identifications that include distinctive line patterns corresponding to different portions of secure customer information. Data indicating an input image, and a dithering matrix representing a two-dimensional array of pixel values is obtained. Pixel values of pixels included in the input image are transformed using the dithering matrix. For each pixel within the input image, the transformation includes identifying a particular pixel value within the dithering matrix that represents a particular pixel within the input image, and adjusting an intensity value of the particular pixel based on attributes of the dithering matrix. A transformed image is generated based on the transformation and then provided for output.