Systems and methods for processing checks using 2D barcodes are provided. A request from a user to process an electronic image of a check can be received. A statistical evaluation of the user can be generated based on prior requests to process electronic images of checks. Based on the statistical evaluation, an initial number of electronic images of the check to request can be determined. The electronic images can be received from the user, and a composite image of the check can be created based on the received electronic images.

An anti-counterfeiting method involves dividing a barcode image into a plurality of modules; extracting a respective inertia of a gray level co-occurrence matrix for each of the plurality of modules; acquiring an image of a printed candidate bar code; generating a sorted list (using extracted intertias) for the plurality of modules of the image of the printed candidate barcode; in a first range of magnitudes, comparing the sorted list for the image of the printed genuine barcode with an equivalent sorted list for the image of the printed candidate barcode; and in a second range of magnitudes, comparing the sorted list for the image of the printed genuine barcode with the sorted list for the image of the printed candidate barcode, wherein the second range is different from the first range.

An anti-counterfeiting method involves dividing a barcode image into a plurality of modules; extracting a respective inertia of a gray level co-occurrence matrix for each of the plurality of modules; acquiring an image of a printed candidate bar code; generating a sorted list (using extracted intertias) for the plurality of modules of the image of the printed candidate barcode; in a first range of magnitudes, comparing the sorted list for the image of the printed genuine barcode with an equivalent sorted list for the image of the printed candidate barcode; and in a second range of magnitudes, comparing the sorted list for the image of the printed genuine barcode with the sorted list for the image of the printed candidate barcode, wherein the second range is different from the first range.

Disclosed is an anti-counterfeiting method based on a feature of a surface texture image of a product, including: obtaining a tag with a unique identity; implanting the tag into a product identification area with a unique texture feature on a surface of the product; collecting an image of the product identification area on the surface of the product implanted with the tag as an official product image using an image acquisition device; adopting a computing method of an eigenvalue of a multi-partition texture image to acquire a feature of the official product image; authenticating a user product image to be identified using a matching method of the texture image eigenvalue of similar partitions based on the identity of an image of the tag and the feature of the official product image to determine an authenticity.

Techniques for detecting counterfeit checks include using sensors to determine correspondence between a portion of sensed check information and related information; analyzing behavior related to accounts to a check deposit transaction; and controlling check depositing through user interface controls or communication. These techniques can be employed individually or in combination.

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 system for providing document authenticity, securing, and tracing includes a mark, an invisible code and a serial number. A user desiring to create a secure, verifiable document can receive one or more codes or indicia to put on the physical document.

A system for providing document authenticity, securing, and tracing includes a mark, an invisible code and a serial number. A user desiring to create a secure, verifiable document can receive one or more codes or indicia to put on the physical document.

A dual code authentication process combining a visible QR code with an invisible randomly generated code which can be alpha, numeric, symbol or image that can only be read with a reading device. A data generation engine is used to create the generated code which is assigned to the QR code and stored in a cloud based database. The QR code is decodable by a handheld reading device which communicates with the cloud based database releasing a copy of the generated code to the reading device. A reader is then used to decode the invisible printed code wherein the user can compare the printed code on the document and the code stored on the cloud based database to determine a match and authenticity.

A dual code authentication process combining a visible QR code with an invisible randomly generated code which can be alpha, numeric, symbol or image that can only be read with a reading device. A data generation engine is used to create the generated code which is assigned to the QR code and stored in a cloud based database. The QR code is decodable by a handheld reading device which communicates with the cloud based database releasing a copy of the generated code to the reading device. A reader is then used to decode the invisible printed code wherein the user can compare the printed code on the document and the code stored on the cloud based database to determine a match and authenticity.