Abstract:
In various embodiments, methods, systems, and computer program products for capturing and processing digital images captured by a mobile device are disclosed. In one embodiment, a method includes capturing image data using a mobile device, the image data depicting a digital representation of a document; defining, based on the image data, a plurality of candidate edge points corresponding to the document; defining four sides of a tetragon based on at least some of the plurality of candidate edge points; determining a plurality of fields within the tetragon; for each field, determining at least a field location and a field data type; associating each determined field location with each field data type to generate a plurality of metadata labels; and associating the plurality of metadata labels with an image of an electronic form.
Abstract:
A method includes capturing plural frames of video data using a mobile device. The frames are analyzed to determine whether any depict an object exhibiting one or more defining characteristics, and if so, whether those frame(s) depicting the object also satisfy one or more predetermined quality control criteria. If one or more of the frames depict the object and also satisfy the one or more predetermined quality control criteria, the method further includes automatically capturing an image of the object. Exemplary defining characteristics are specified for various types of object, particularly objects comprising documents. Related systems and computer program products are also disclosed. The presently disclosed techniques and systems represent translational developments across the fields of image processing and business process management. Improved analytical techniques enable processing of image captured using cameras rather than traditional scanner technology, and facilitate distribution, tracking and analysis of documents and information throughout business processes.
Abstract:
A method includes receiving user input defining a workflow comprising one or more activities and one or more rules; receiving user input defining a user interface (UI) configured to facilitate a user performing the workflow at least in part using a processor of a mobile device; and generating a mobile software application based on the workflow and the UI. In another embodiment, a method includes: instantiating a mobile application on a mobile device; launching a workflow within the mobile application, the workflow comprising one or more activities and one or more rules; rendering one or more user interfaces based at least in part on the workflow; displaying at least one of the user interfaces on a display of the mobile device; receiving user input via at least one of the user interfaces; and modifying the workflow based at least partially on user input. Systems and computer program products are also disclosed.
Abstract:
In various embodiments, methods, systems, and computer program products for processing digital images captured by a mobile device are disclosed. Myriad features enable and/or facilitate processing of such digital images using a mobile device that would otherwise be technically impossible or impractical, and furthermore address unique challenges presented by images captured using a camera rather than a traditional flat-bed scanner, paper-feed scanner or multifunction peripheral.
Abstract:
A method includes receiving or capturing an image comprising an identity document (ID) using a mobile device; classifying the ID; building an extraction model based on the ID classification; extracting data from the ID based on the extraction model; building an ID profile based on the extracted data; storing the ID profile to a memory of the mobile device; detecting a predetermined stimulus in a workflow; identifying workflow-relevant data in the stored ID profile at least partially in response to detecting the predetermined stimulus; providing the workflow-relevant data from the stored ID profile to the workflow; and driving at least a portion of the workflow using the workflow-relevant data. Related systems and computer program products are also disclosed.
Abstract:
In various embodiments, methods, systems, and computer program products for processing digital images captured by a mobile device are disclosed. Myriad features enable and/or facilitate processing of such digital images using a mobile device that would otherwise be technically impossible or impractical, and furthermore address unique challenges presented by images captured using a camera rather than a traditional flat-bed scanner, paper-feed scanner or multifunction peripheral.
Abstract:
A method includes receiving user input defining a workflow comprising one or more activities and one or more rules; receiving user input defining a user interface (UI) configured to facilitate a user performing the workflow at least in part using a processor of a mobile device; and generating a mobile software application based on the workflow and the UI. In another embodiment, a method includes: instantiating a mobile application on a mobile device; launching a workflow within the mobile application, the workflow comprising one or more activities and one or more rules; rendering one or more user interfaces based at least in part on the workflow; displaying at least one of the user interfaces on a display of the mobile device; receiving user input via at least one of the user interfaces; and modifying the workflow based at least partially on user input. Systems and computer program products are also disclosed.
Abstract:
In various embodiments, methods, systems, and computer program products for processing digital images captured by a mobile device are disclosed. Myriad features enable and/or facilitate processing of such digital images using a mobile device that would otherwise be technically impossible or impractical, and furthermore address unique challenges presented by images captured using a camera rather than a traditional flat-bed scanner, paper-feed scanner, or multifunction peripheral.
Abstract:
A method includes receiving or capturing a digital image using a mobile device, and using a processor of the mobile device to: determine whether an object depicted in the digital image belongs to a particular object class among a plurality of object classes; determine one or more object features of the object based at least in part on the particular object class at least partially in response to determining the object belongs to the particular object class; build or select an extraction model based at least in part on the one or more determined object features; and extract data from the digital image using the extraction model. The extraction model excludes, and/or the extraction process does not utilize, optical character recognition (OCR) techniques. Related systems and computer program products are also disclosed.
Abstract:
In one embodiment, a method includes receiving a digital image captured by a mobile device; and using a processor of the mobile device: generating a first representation of the digital image, the first representation being characterized by a reduced resolution; generating a first feature vector based on the first representation; comparing the first feature vector to a plurality of reference feature matrices; and classifying an object depicted in the digital image as a member of a particular object class based at least in part on the comparing.