An image identification system for conducting image identification of a valuable file in an automatic teller machine and a corresponding image storage control method are provided. The system comprises: an image sensor; an image memory; an image identification module; an image storage area controller; and a main control unit, wherein the image storage area controller comprises a storage area index link table which is divided into N nodes, N being a natural number greater than 1, each node corresponding to each of the image storage areas divided by the image storage area controller in a one to one relationship, and each node storing the storage locations of a previous image and a next image which are linked with the node, and being provided with an acquired image write pointer, an identified image read pointer, an unidentifiable image head pointer, and an unidentifiable image tail pointer.

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.

The disclosure relates generally to checks and other negotiable financial instruments and particularly to mitigating exposure to financial fraud. Specifically, the disclosure relates to systems and methods of authenticating checks issued by a first entity for the benefit of a third party.

A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document and using automated verification of identification documents. Identification documents may be authenticated by validating security features. The system may determine features expected in a valid identification document and determine whether those features are present, employing techniques, such as determining whether direction-sensitive features are present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks.

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.

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.

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.

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.

A device for determining authenticity including processing circuitry which generates a reference image data of a counterfeit prevention medium at an observation angle for comparison with captured image data obtained based on a pattern of light observed from the counterfeit prevention medium at the observation angle between an imaging direction of the captured image data and a reference line of a surface of the counterfeit prevention medium, calculates similarity between the captured image data and the reference image data, and determines authenticity of the counterfeit prevention medium based on whether the similarity exceeds a threshold.

Methods and distributed computer devices for automatically determining whether a document is genuine. The method involves generating an image of the document, pre-processing of the image to obtain at least one segment of the image with an area of interest and dividing the at least one segment into portions containing single characters and/or combinations of characters. A validation of at least two single characters and/or at least two combinations of characters is performed for each of the single character and/or character combinations for at least two different categories. Score values are created for each category for each validated single character and/or character combination. Feature vectors are created for each single character and/or character combination, with the respective score values for each category as components. The method involves classifying the feature vectors to determine whether the single character or character combination to which the feature vector is associated is genuine.