Abstract: A system supporting identity verification for an end-user, the system including a hardware processor configured for sending a link, which directs an end-user to a software functionality, such as but not limited to a web application, native app/native sdk, web app desktop, web sdk, which is operative for end-user identity verification, to an end-user's mobile phone, thereby to open an identity verification session when the end-user clicks on the link; and wherein data is elicited from the end-user via the software functionality activated by the end-user's clicking on the link. Typically the software functionality processes at least one image captured by at least one end-user's cellphone during the session or in real time or near real time, and for at least one image so captured, detects, and communicates to the end-user that the image is of unsatisfactory quality.

Abstract: A document liveness detection method comprising using a hardware processor for prompting an end-user of an electronic device, having a camera, to provide an image sequence of a physical document whose orientation is undergoing change; and image-processing the image sequence to yield an output indication of whether or not the image sequence was generated by capturing a live or physical document; and providing the output indication to at least one computerized system or human.

Abstract: Forensic method for identifying forged documents. For each of a stream of incoming jpeg images, using a processor configured for determining whether jpeg image/s is a replacement forgery by determining whether a first portion of individual image which resides at a known location (known likely to be replaced by forger) within the individual jpeg image has been replaced, including: indicator, face-djpg, for the first portion at known location; computing indicator, aka nonface-djpg, for a second portion of individual image which resides at a comparison location within the jpeg image known as unlikely to be replaced by a forger; and determining whether face-djpg and nonface-djpg fulfill predetermined logical criterion and deciding whether the individual jpeg image is a replacement forgery accordingly.

Abstract: A method for processing images generated by unsupervised end-users, the method comprising determining whether or not at least one digital image of a document was generated by scanning an original document, including using a processor for applying a resolution analysis test to a textured region of interest; and sending at least one output indication of the determining operation.

Abstract: A data analytics system/method operative in conjunction with a data repository storing data regarding each of a multiplicity of frames including images of ID documents, including receiving at least one image generated by an image capturing device such as a camera or scanner; providing document data, derived by a hardware processor from the image capturing device, which characterizes a document depicted in the image; providing person data, derived by a hardware processor from the image, which characterizes a person who may bear the document depicted in the image; and generating inputs for identification of potential fraudulent attempts including analyzing whether the document data exists within the data regarding each of the multiplicity of images of ID documents; and/or analyzing whether the person data exists within the data regarding each of the multiplicity of images of ID documents.

Abstract: A system for computerized authentication of a laminated object, the system comprising a digital medium storing a digital image of at least a portion of the laminated object in a computer-implemented memory; a shininess analyzer operative, using a processor, to generate shininess data quantifying shininess of the digital image; and a parameterized computerized authentication sub-system operative to differentially perform at least one laminated object authentication operation based on the shininess data.

Abstract: System differentiating “legitimate” images generated by scanning physical documents from “forged” document images, the system comprising a trained classifier, configured to sort a stream of incoming images into two classes including a first (“legitimate”) class of images generated by scanning physical documents; and a second (“forged”) class of images including images at least partly generated by a graphics editor rather than by scanning a physical document; and an output device operative to present, to an end-user, an output identifying, for at least one image I, whether said image I belongs to said first class or said second class; and an output device configured, responsive to classifications generated by the trained classifier, to provide an output indication of whether each of a plurality of images is generated by scanning a physical document, or is at least partly generated by a graphics editor.

Abstract: A computerized method for authenticating documents having VIZ sections, the method comprising capturing an image of a document to be authenticated from a scanner and enhancing the captured image, and using a processor for identifying and cropping a VIZ section in the image.

Abstract: A scanned image authentication system employing at least one image authentication station which is unable to process scanned images which do not belong to at least one individual scanned image category, the system comprising a gateway image processor operative for on-line filtering of an incoming scanned image to determine whether or not the incoming scanned image belongs to the scanned image category, and a computer-implemented interface operative to transmit each individual scanned image to the at least one image authentication station only if the gateway image processor has determined that the individual scanned image belongs to the at least one individual scanned image category.

Abstract: Forensic method for identifying forged documents. For each of a stream of incoming jpeg images, using a processor configured for determining whether jpeg image/s is a replacement forgery by determining whether a first portion of individual image which resides at a known location (known likely to be replaced by forger) within the individual jpeg image has been replaced, including: indicator, face-djpg, for the first portion at known location; computing indicator, aka nonface-djpg, for a second portion of individual image which resides at a comparison location within the jpeg image known as unlikely to be replaced by a forger; and determining whether face-djpg and nonface-djpg fulfill predetermined logical criterion and deciding whether the individual jpeg image is a replacement forgery accordingly.

Abstract: A computerized method for authenticating documents having VIZ sections, the method comprising capturing an image of a document to be authenticated from a scanner and enhancing the captured image, and using a processor for identifying and cropping a VIZ section in the image.