18 results about "Document capture" patented technology

An authentication processing system includes a memory storing a portrait fraud detection application, and a processing unit coupled with the memory and configured to execute the portrait fraud detection application. The portrait fraud detection application, when executed, configures the processing unit to receive a capture of a document including a portrait photo and at least one overlay, detect a face in the portrait photo among the at least one overlay in the capture, and determine the portrait photo is fraudulent; and initiate an indication the document is fraudulent.

To improve user convenience in an image reading system.SOLUTION: An imaging device has a plurality of imaging elements arranged in a direction intersecting a transport path on the opposite side of the transport path across a transparent member arranged in the transport path of a document. The imaging device causes a display device to display a position of a noise in a document image of the document captured by the imaging device on the basis of detecting that there is the noise in the image captured through the transparent member.SELECTED DRAWING: Figure 12

Techniques are disclosed relating to automatically determining image quality for images of documents. In some embodiments, a computer system receives an image of a document captured at a user computing device. Using a neural network, the computer system analyzes the image to determine whether the image satisfies a quality threshold, where the analyzing includes determining whether one or more features in the image used in an authentication process are obscured. The computer system transmits, to the user computing device, a quality result, where the quality result is generated based on an image classification output by the neural network. Automatically determining whether a received image of a document satisfies a quality threshold may advantageously improve the chances of a system being able to complete an authentication process quickly, which in turn may improve user experience while reducing fraudulent activity.

A document capture server receives a document image from a document capture client and processes the image into an electronic document containing textual content. During capture, the document capture server determines a graphical layout of the document, extracts keywords from the document, classifies the document accordingly, and calls an artificial intelligence (AI) platform to gain insights on the textual content. The AI platform analyzes the textual content and returns additional, insightful data such as a sentiment of the textual content. The document capture server can validate the additional data, integrate the additional data in a process or workflow, and / or provide the textual content and the additional data to a content repository or a computing facility operating in an enterprise computing environment. The document capture server can provide validated data to the AI platform to improve future analyses by the AI platform.

An example system may include a document snapshot circuit structured to generate a document snapshot configured to capture a state of a document at a time marker and a document sharding circuit structured to analyze the document snapshot, and generate a first plurality of shard documents capturing the state of the document at the time marker. The system may include a document serving circuit structured to access the first plurality of shard documents, and provide at least a subset of the first plurality of shard documents to a client serving circuit structured to implement a unified document surface interface in response to the at least a subset of the first plurality of shard documents. The document serving circuit is configured to provide the subset of the first plurality of shard documents in an order determined to prioritize shards related to a last accessed location of the document.

A system and methodology is provided in which image and video injection attack attempts, which may occur in connection with document or individual verification processes, can be detected and handled. The system and methodology of the present invention, in some embodiments, employs functionalities such as haptic vibration generation and accelerometer data typically present in existing user devices to implement attack detection and response.

The invention relates to a document scanner (10) comprising a housing (12) in which a document capture device (14) is arranged. The housing (12) has a scan opening (18) for the capture area (16) of the capture device (14), wherein the scan opening (18) is surrounded by a receiving area (20) of the housing (12) for a transparent support plate (22). The support plate (22) covers the scan opening (18) and serves to support a document to be scanned. According to the invention, a polymer seal (26) surrounding the scan opening (18) is arranged between the support plate (22) and the receiving area (20), making the document scanner (10) dustproof and splashproof according to protection class IP54 and thus suitable for outdoor use.

The invention relates to the technical field of deep learning and logistics document identification, in particular to a circular packaging logistics document identification and data processing method based on deep learning. The method includes: acquiring an original document image captured on site; obtaining a service context; performing physical state analysis processing on the original document image to obtain a physical state mask and a key information area physical entropy increase index; original data fragments, optical character recognition confidence and model uncertainty are obtained; combining the physical entropy increase index of the key information region, the optical character recognition confidence coefficient and the model uncertainty to solve a coupling data credibility score; based on the coupling data credibility score, the original data fragment and the service context, obtaining credible data; and generating structured data and actionable service suggestions according to credibility scores of the credible data and the coupled data. According to the method, the robustness and the environmental adaptability of circular packaging document identification in a complex field environment are remarkably improved.

Techniques are disclosed relating to automatically determining image quality for images of documents. In some embodiments, a computer system receives an image of a document captured at a user computing device. Using a neural network, the computer system analyzes the image to determine whether the image satisfies a quality threshold, where the analyzing includes determining whether one or more features in the image used in an authentication process are obscured. The computer system transmits, to the user computing device, a quality result, where the quality result is generated based on an image classification output by the neural network. Automatically determining whether a received image of a document satisfies a quality threshold may advantageously improve the chances of a system being able to complete an authentication process quickly, which in turn may improve user experience while reducing fraudulent activity.

An image processing system, a recording medium, and an image processing method, the image processing system including an imaging unit and a processor configured to: display a list of read attributes set when generating a read image of a document in accordance with a user operation; determining, as a preview region, a partial region on the document, which is a range of generation of a preview image of the document, if one read attribute is selected by a user from the list of read attributes; a preview image generation unit that generates the preview image corresponding to the preview area for each attribute value that can be taken for the one read attribute from a captured image of the document captured by the imaging unit; displaying an attribute value selection screen indicating a correspondence relationship between each attribute value that can be taken by the one read attribute and the preview image generated from the attribute value; and setting an attribute value selected by a user from the attribute value selection screen as an attribute value of the one read attribute when generating a read image of the original.

An interactive terminal, comprising: a camera; a document capture system; an input-output interface; a display; a loudspeaker; a network interface; and a processing entity. The processing entity is configured for: transmitting a document captured by the document capture system to a remote server via the network interface; guiding a user through a transaction sequence that includes steps during which the user provides requested input via the input-output interface and steps during which the interactive terminal provides the user with audiovisual playback via the display and the loudspeaker; taking in-progress images of the user with the camera during the transaction sequence, the in-progress images used for validation of continued physical proximity of the user to the interactive terminal during the transaction sequence; and, in response to the validation being successful, proceeding to digital signing of documents via the input-output interface to complete the transaction. Certain embodiments disclosed herein contribute to making transactions more secure and efficient.

Embodiments are disclosed for automated bulk document capture. The method may include receiving an input video comprising a plurality of frames. The input video depicts a plurality of document pages to be captured. A first machine learning model is used to determine a page turn event has been depicted in the input video based at least on a first frame of the input video. A second machine learning model is used to determine that a first frame of the input video is ready for capture. An image of a document page depicted in the first frame is then captured.

Systems and methods for using a mobile device to submit an application for an insurance policy using images of documents captured by the mobile device are provided herein. The information is then used by an insurance company to generate a quote which is then displayed to the user on the mobile device. A user captures images of one or more documents containing information needed to complete an insurance application, after which the information on the documents is extracted and sent to the insurance company where a quote for the insurance policy can be developed. The quote can then be transmitted back to the user. Applications on the mobile device are configured to capture images of the documents needed for an insurance application, such as a driver's license, insurance information card or a vehicle identification number (VIN). The images are then processed to extract the information needed for the insurance application.

Method for identifying a shopping basket, recorded at a goods receipt unit and having a shopping basket identifier, at a payment terminal with a housing in which a cash input and output module and / or a card reading module and in which a receipt unit for recording the customer's shopping basket, comprising at least one item, are arranged, wherein the shopping basket identifier is integrated in a receipt issued by the goods receipt unit, with a receipt placement element facing the customer side of the receipt unit, at least partially transparent and having a recording area, and with a display unit for displaying a price to be paid by the customer for the shopping basket, wherein, - the document detection unit (5) comprises at least one lighting element (14) for illuminating the detection area (17) of the document placement element (15) and a camera (13) for optically detecting the detection area (17) of the document placement element (15), and - that at least one lighting element (14) and the camera (13) are arranged on a side of the document placement element (15) facing away from the customer, and - a recording document (11) provided by the goods recording unit (9) can be placed flat on the document support element (15), and - the recording document (11) can be recorded by means of the camera (13), wherein the shopping basket includes goods with a product identifier and at least one information carrier with an identification field containing identification information is placed on the recording area of ​​the document placement element of the document recording unit, characterized in that - Individual images of the detection area (17) of the document placement element (15) are continuously captured as an image sequence by the camera (13), - the image sequence is further processed in such a way that a single image having an identification field (22) of an information carrier is separated, and - the separated single image is processed in such a way that the identification information of the information carrier is read out to assign the information carrier to the shopping basket recorded at the goods recording unit (9).

An example system may include a document snapshot circuit structured to generate a document snapshot configured to capture a state of a document at a time marker and a document sharding circuit structured to analyze the document snapshot, and generate a first plurality of shard documents capturing the state of the document at the time marker. The system may include a document serving circuit structured to access the first plurality of shard documents, and provide at least a subset of the first plurality of shard documents to a client serving circuit structured to implement a unified document surface interface in response to the at least a subset of the first plurality of shard documents. The document serving circuit is configured to provide the subset of the first plurality of shard documents in an order determined to prioritize shards related to a last accessed location of the document.

A document capture server receives a document image from a document capture client and processes the image into an electronic document containing textual content. During capture, the document capture server determines a graphical layout of the document, extracts keywords from the document, classifies the document accordingly, and calls an artificial intelligence (AI) platform to gain insights on the textual content. The AI platform analyzes the textual content and returns additional, insightful data such as a sentiment of the textual content. The document capture server can validate the additional data, integrate the additional data in a process or workflow, and / or provide the textual content and the additional data to a content repository or a computing facility operating in an enterprise computing environment. The document capture server can provide validated data to the AI platform to improve future analyses by the AI platform.

Systems and methods for shadow detection and reduction during document capture are disclosed herein. Temporary images of hardcopy documents are analyzed to determine the presence of a shadow or hotspot that obscures information of the hardcopy document. In response to detecting the shadow or hotspot, a controllable light source is used to illuminate the hardcopy document at predicted and / or predetermined intensities to minimize or eliminate the shadow on the hardcopy document. A permanent image of the hardcopy document illuminated by the controllable light source at the intensity that minimizes or eliminates the shadow is then stored. In this way, information of the hardcopy document (such as text, color, layout, spacing etc.) is increased in the permanent image and a need for post-processing the permanent image is reduced or eliminated.