Recognizing magnetic ink characters in an automated teller machine and, more particularly, recognizing magnetic ink characters in an automated teller machine. Results of optical character recognition (OCR) are compared based on an image acquired through a contact image sensor (CIS) provided in an authentication unit and character-based waveforms of magnetic ink characters acquired through an MR sensor. Whether a bill is legitimate is authenticated, and thus correct reading of magnetic ink characters printed on a check is realized. The structure of the authentication unit can be simplified so that correct recognition of the magnetic ink characters printed on the check in a normal automated teller machine is supported without a high-resolution MICR sensor, and the cost of manufacturing the automated teller machine can be effectively reduced.

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.

Systems and methods for cash verification and remote deposit are provided. A method may include receiving credentials to authenticate a login to a mobile app that is associated with a first financial entity; receiving an instruction to deposit a bill of cash at a physical location associated with a second financial entity that is different from the first financial entity; illuminating a front face of the bill; capturing an image of the illuminated front face; illuminating a back face of the bill; capturing an image of the illuminated back face; extracting a first tier of features from the images; determining a denomination and/or version of the bill; when the denomination and/or version exceeds a predetermined first threshold, extracting a second tier of features; when all of the extracted features are associated with the same denomination and/or version, and all of the features that are associated with said denomination and/or version are detected, verifying the bill; and when the bill is verified and a message is received, from the second financial entity, confirming that the second financial entity received the bill, depositing an amount corresponding to the denomination in an account at the first financial entity.

Existing currency validation (CVAL) devices, systems, and methods are too slow, costly, intrusive, and/or bulky to be routinely used in common transaction locations (e.g., at checkout, at an automatic teller machine, etc.). Presented herein are devices, systems, and methods to facilitate optical validation of documents, merchandise, or currency at common transaction locations and to do so in an obtrusive and convenient way. More specifically, the present invention embraces a validation device that may be used alone or integrated within a larger system (e.g., point of sale system, kiosk, etc.). The present invention also embraces methods for currency validation using the validation device, as well as methods for improving the quality and consistency of data captured by the validation device for validation.

Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for authentication. One computer-implemented method includes obtaining a first image, where the first image is an image of an identification (ID) document captured when the ID document is tilted at a first angle relative to a projected light source. A second image is obtained, where the second image is an image of the ID document captured when the ID document is tilted at a second angle relative to the projected light source. The ID document is authenticated based on identification of a first illuminated region and a second illuminated region, where the first illuminated region is associated with the first image and the second illuminated region is associated with the second image, and a comparison between a first position of the first illuminated region and a second position of the second illuminated region.

The present disclosure discloses a method, apparatus and device for recognizing a bill, and a storage medium. The method comprises: acquiring a bill image; inputting the bill image into a feature extraction network layer of a pre-trained bill recognition model, to obtain a bill key field feature map and a bill key field value feature map of the bill image; inputting the bill key field feature map into a first head network layer of the bill recognition model, to obtain a bill key field; processing the bill key field value feature map by a second head network layer of the bill recognition model, to obtain a bill key field value, the feature extraction network layer being respectively connected with the first head network layer and the second head network layer; and generating structured information of the bill image based on the bill key field and the bill key field value.

A method of determining whether a user of a mobile device corresponds to a previously authenticated user. The method comprises: acquiring a first image from the identity document, the first image being a photographic image and or a digital image; causing a camera connected to or integral with the mobile device to capture a second image, the second image corresponding to a user of the mobile device; comparing data indicative of the first image and data indicative of the second image, whereby to determine whether the first image and the second image represent the same user; and responsive to determining that the first image and the second image represent the same user, forming an association between the previously authenticated user and the mobile device.

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.

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.

Implementations of the present disclosure include applying UV light to a first target identification, generating a first UV image of the first target identification, and determining that a model brightness fingerprint is unavailable for the first target identification, and in response: calculating a region brightness value for a particular region of the first target identification based on the first UV image, calculating an identification brightness value for the first target identification based on the first UV image, and comparing the region brightness value to the identification brightness value to determine whether the first target identification has been tampered with.