Patent classifications
G07D7/206
Method for authenticating a secure document
The invention relates to a method for authenticating a secure document comprising data printed by analogue or digital printing, said method comprising the following operations: —definition, from among a set of graphical and/or alphanumeric data of the secure document, of at least one distinct data area including at least one distinctive pattern; —during an operation of fabrication of the secure document, reading the distinct data area onto a storage device so as to form a distinct reference data area; —in the course of an operation of verification of the authenticity of the secure document, extracting the distinct data area from a digitized version of the secure document; and—comparing the extracted distinct data area with the distinct reference data area so as to determine a level of matching between said distinct data areas and to deduce therefrom a positive authentication or negative authentication.
Method for authenticating a secure document
The invention relates to a method for authenticating a secure document comprising data printed by analogue or digital printing, said method comprising the following operations: —definition, from among a set of graphical and/or alphanumeric data of the secure document, of at least one distinct data area including at least one distinctive pattern; —during an operation of fabrication of the secure document, reading the distinct data area onto a storage device so as to form a distinct reference data area; —in the course of an operation of verification of the authenticity of the secure document, extracting the distinct data area from a digitized version of the secure document; and—comparing the extracted distinct data area with the distinct reference data area so as to determine a level of matching between said distinct data areas and to deduce therefrom a positive authentication or negative authentication.
Systems and methods for visual verification
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.
SYSTEMS AND METHODS FOR VISUAL VERIFICATION
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.
Image based novelty detection of material samples
Systems and methods for detecting/identifying novel material samples are provided. A test sample image is processed with a trained transformation function to obtain a transformed matrix. A measure of similarity of the test image based on the transformed matrix is compared to a threshold to determine whether the test sample is novel to a batch of material samples that are provided to train the transformation function.
Image based novelty detection of material samples
Systems and methods for detecting/identifying novel material samples are provided. A test sample image is processed with a trained transformation function to obtain a transformed matrix. A measure of similarity of the test image based on the transformed matrix is compared to a threshold to determine whether the test sample is novel to a batch of material samples that are provided to train the transformation function.
Method of detecting a concealed pattern
A method for detecting a component including a concealed pattern includes: detecting infrared electromagnetic radiation reflected or emitted by a component including a first pattern, the component including: a substrate; the first pattern disposed over at least a portion of the substrate; an optional primer layer disposed between at least a portion of the substrate and at least a portion of the first pattern; and a first visibly opaque layer including an infrared transparent pigment, the first visibly opaque layer disposed over at least a portion of the first pattern; and comparing the reflectivity and/or absorbance of infrared electromagnetic radiation by the first pattern at one wavelength to the reflectivity and/or absorbance by the primer layer and/or the substrate at the same wavelength.
METHOD OF RECOGNIZING MAGNETIC INK CHARACTERS IN ATM
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.
Method of detecting a concealed pattern
A method for detecting a component including a concealed pattern includes: detecting infrared electromagnetic radiation reflected or emitted by a component including a first pattern, the component including: a substrate; the first pattern disposed over at least a portion of the substrate; an optional primer layer disposed between at least a portion of the substrate and at least a portion of the first pattern; and a first visibly opaque layer including an infrared transparent pigment, the first visibly opaque layer disposed over at least a portion of the first pattern; and comparing the reflectivity and/or absorbance of infrared electromagnetic radiation by the first pattern at one wavelength to the reflectivity and/or absorbance by the primer layer and/or the substrate at the same wavelength.
Systems and methods for updating an image registry for use in fraud detection related to financial documents
A system comprising: a check Image Record (CIR) database configured to store, for each of a plurality of accounts, a CIR, wherein each CIR comprises feature information related to features extracted from a plurality of reference checks associated with the associated account of the plurality of accounts; memory configured to store instructions; and a processor coupled with the CIR database and the memory, the processor configured to run the instructions, which cause the processor to: receive an image of a test check associated with an account of the plurality of accounts, extract feature information from the image, compare the features with the feature information stored in the CIR database for the account associated with the test check, generate a fraud score, and update each CIR by determining.