A method and system for automatically verifying the authenticity of documents is provided. The method has: scanning a document to be verified in the visible and ultraviolet light spectrum; detecting in the scanned document digital watermarks printed with visible and ultraviolet ink; decrypting the marks, thereby obtaining an ultraviolet mark identifier and a variable data mark identifier; validating the percentage of the mark by checking for the presence of the digital watermark in different areas of the scanned document; comparing the mark identifiers obtained with mark identifiers stored in a database; and determining the validity of the document on the basis of the comparison. The invention allows the validity of the data printed in the document to be checked automatically, reducing the possibility of the undetected falsification, modification or total or partial alteration of a document.

A system evaluates currency in an area using image processing. In some examples, the system receives an image of an area from an image sensor, processes the image to identify at least one item of currency in the area, determine a value of the currency irrespective of validity, and counts the currency. In various examples, the system receives an image of an area from an image sensor; processes the image to identify at least one item of currency in the area; determines whether the currency has an error condition; and when the currency is determined to have the error condition, provides output on the error condition. In a number of examples, the system receives an image of an area from an image sensor; processes the image to identify at least one item of currency in the area; determines whether the currency is valid; and when the currency is determined to be suspect, provides output on the currency.

Provided in the present invention is a banknote management method. The method comprises: acquiring, identifying, and processing banknote features by a banknote information processing apparatus, so as to obtain banknote feature information; transmitting the banknote feature information, service information, and information about the banknote information processing apparatus together to a main control server; and the main control server processing the received information and classifying banknotes. Also provided is a banknote management system for the banknote management method. The method of the present invention can enhance robustness of identification while maintaining an operation speed, thus ensuring accuracy and practicability in actual applications.

A method of verifying an authenticity of a printed item includes: photographing the printed item to obtain a photographic image of the printed item, retrieving reference data of the printed item, the reference data including a reference image of the printed item, determining a test noise parameter from the photographic image of the printed item, determining a reference noise parameter from the reference image, comparing the test noise parameter of the photographic image of the printed item to the reference noise parameter of the reference image, and determining an authenticity of the printed item from a result of the comparing. The determining the authenticity of the printed item from the result of the comparing may include establishing from the reference noise parameter of the reference image and the test noise parameter of the printed item.

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.

The present invention relates to a method, a sensor, a sensor unit and a bank-note processing machine for checking the completeness and/or authenticity of value documents. A value document comprises at least one machine-readable feature substance in at the least two locations. According to the method, the value document is excited at least locally at measuring locations. Furthermore, a feature intensity with respect to the machine-readable feature substance is captured location-resolved at several different locations of the value document. The location-based feature intensities are classified location-based with the help of a threshold value. Furthermore, location-based limits of a location distribution to be expected of the machine-readable feature substance are determined. Finally, a location-based distribution of the classified feature intensities is assessed.

The disclosure relates to a method for encoding an illustration, which involves writing the illustration in greyscale or in color, encoding a message in the form of a two-dimensional barcode comprising a set of blocks, each block encoding a fragment of the message and comprising a set of (M) rows and (N) columns, and each block comprising a set of encoding sub-blocks, each subblock comprising a set of bits. It is essentially characterized in that the encoding step comprises defining or identifying a set of remarkable points on the source illustration, calculating a set of attributes according to certain remarkable points, selecting, among the set of attributes, at least one attribute making it possible to define a digital fingerprint, optionally compressed, optionally sign the digital fingerprint, record in the message one of at least one attribute, the digital fingerprint, optionally compressed, the signed digital fingerprint in compressed or non-compressed form.

A method of verifying an authenticity of a printed item includes: photographing the printed item to obtain a photographic image of the printed item, retrieving reference data of the printed item, the reference data including a reference image of the printed item, determining a test noise parameter from the photographic image of the printed item, determining a reference noise parameter from the reference image, comparing the test noise parameter of the photographic image of the printed item to the reference noise parameter of the reference image, and determining an authenticity of the printed item from a result of the comparing. The determining the authenticity of the printed item from the result of the comparing may include establishing from the reference noise parameter of the reference image and the test noise parameter of the printed item.

A system comprising: a document holder; an image sensor directed toward the document holder; a polarized filter between the image sensor and the document holder; a filter motor configured to rotate the polarized filter; one or more processors; and at least one memory having stored thereon computer program code that, when executed by the one or more processors, instructs the one or more processors to: control the filter motor to rotate the polarized filter; control the image sensors to capture a plurality of images of a document within the document holder, the plurality of images corresponding to a respective relative orientations of the polarized filter to the document; identify a feature of the document; and output, in response comparing respective visual characteristics of the feature of the document to corresponding expected visual characteristics of the first feature for the document, an indication of a verification of the document.

A method for detecting a document fraud is disclosed. A first image of a first document and a second image of a second document are obtained. A procedure of detection of zones sensitive to document frauds are applied in the regions of the first image and of the second image registered on the first image. Each sensitive zone detected is then divided into a plurality of subparts. A measurement of dissimilarity is calculated between corresponding subparts from the first image and the registered second image. It is then determined whether the first document is identical to the second document from measurements of dissimilarity. If the first document is different from the second document, a level of difference is determined between the first and second documents according to a value representing a proportion of different subparts; and a fraud is detected when the level of difference is below a third predetermined threshold.