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.

According to an embodiment, a paper sheet processing device includes a fluorescence reference member, a light source, and a sensor. The fluorescence reference member is configured to demonstrate fluorescence in accordance with an intensity of excitation light applied. The light source configured to apply the excitation light to the fluorescence reference member and a paper sheet. The sensor configured to take, at a plurality of sensitivity wavelengths, images of irradiation surfaces of the fluorescence reference member and the paper sheet being irradiated with the excitation light. The fluorescence reference member includes a transmittance control element for the excitation light.

A method for authenticating an object, comprising determining a physical dispersion pattern of a set of elements, determining a physical characteristic of the set of elements which is distinct from a physical characteristic producible by a transfer printing technology, determining a digital code associated with the object defining the physical dispersion pattern, and authenticating the object by verifying a correspondence of the digital code with the physical dispersion pattern, and verifying the physical characteristic.

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.

The present disclosure relates to signal processing such as digital watermarking and other encoded signals. One claim recites a method of offsetting color casting for a printed object associated with a retail product. The method includes: providing a first additive that absorbs light energy at or around a center wavelength of an illumination source; providing a second additive that absorbs in the ultra-violet spectrum, yet fluoresces at or around the center wavelength of the illumination source, wherein a combination of spectral responses of the first additive and the second additive offset color casting; printing the first additive, second additive and a color on the printed object, wherein the printing conveys an encoded plural bit signal. Of course, other claims and combinations are provided in the specification with reference to specific implementations and related examples.

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.

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.

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.

A currency classification device that classifies currency types using currency images includes a feature value calculator, a storage, and an output unit. The feature value calculator calculates feature values for every currency type that is a candidate for classification from an image area common in images of every currency type. The storage stores the feature values calculated by the feature value calculator from learning images, which are currency models, as templates for every currency type. The output unit outputs the currency type corresponding to the template having a highest value of similarity with the feature value calculated by the feature value calculator an input image, which is a currency image subject to classification, in the templates stored in the storage as a classification result.

A method and a device for adaptively recognizing a value document are provided. The method includes: acquiring a collection parameter, and collecting a photoelectric signal of the value document; acquiring a photoelectric signal correction amount, and performing digital compensation on the photoelectric signal; performing feature extraction on the photoelectric signal subjected to the digital compensation to obtain a feature vector; inputting the feature vector to a preset classifier for recognition, to obtain a recognition result of the value document; acquiring a specific region on the value document; acquiring feature information of the photoelectric signal of the value document; calculating an accumulation component and a differential error of the value document; calculating a total correction amount of the photoelectric signal; updating the photoelectric signal correction amount and the collection parameter; and outputting the recognition result.