Abstract:
A method for decoding information from a physical image having a plurality of payload patches includes generating a digital representation of the physical image. A plurality of regions are mapped to the plurality of payload patches in the digital representation. A scramble pattern is identified and the plurality of mapped regions of the digital representation are reordered according to the identified scramble pattern. Information is decoded from the payload patches of the reordered plurality of mapped regions.
Abstract:
A system can comprise a memory to store machine readable instructions and a processing unit to access the memory and execute the machine readable instructions. The machine readable instructions can comprise a feature set extractor to extract a feature set from each of a plurality of digital images of print samples. The feature set can be a filtered feature set that includes a feature set characterizing a printer that printed a given print sample of the print samples. The machine readable instructions can also comprise a cluster component to determine clusters of the print samples based on the feature set of each of the plurality of scanned images of the print samples. The machine readable instructions can further comprise a printer identifier to identify the printer of the print samples based on the clusters of the print samples.
Abstract:
Systems and methods for performing task execution in a workflow are described. The system comprises at least one modular device (12, 42, 82, 91, 105, 112, 122, 142, 162, 212, 214, 222, 224, 232, 234, 362, 364, 372, 374, 382) comprising a sensor device (14, 44, 84, 92, 106, 114, 144, 164) that is interchangeably coupled to a processor device (72, 95, 103, 120, 150, 210, 220, 230, 360, 370, 380), a software service (20, 60, 78, 96, 96a, 130, 172, 216, 226, 236, 366, 376, 386) and an electronic workflow system (22, 62, 89, 98, 134, 174, 240, 352), where the sensor may correspond to at least one particular task of a workflow, and the software service may control operation of the modular device and generates metadata from task information received by the sensor of the modular devices for the electronic workflow system.
Abstract:
Methods for selecting metrics for substrate classification, and apparatus to perform such methods. The methods include determining a value of a metric from an image of a substrate sample for each substrate sample of a plurality of substrate samples, wherein the metric is indicative of a surface texture of each substrate sample and iteratively assigning substrate samples of the plurality of substrate samples to an aggregate of a particular number of aggregates in response to a value of the metric for each substrate sample until a convergence of clustering is deemed achieved, then determining an indication of cluster tightness of the particular number of aggregates. The methods further include selecting or ignoring the metric for substrate classification in response to the indication of cluster tightness of the particular number of aggregates.
Abstract:
A system can comprise a memory to store machine readable instructions and a processing unit to access the memory and execute the machine readable instructions. The machine readable instructions can comprise a feature set extractor to extract a feature set from each of a plurality of digital images of print samples. The feature set can be a filtered feature set that includes a feature set characterizing a printer that printed a given print sample of the print samples. The machine readable instructions can also comprise a cluster component to determine clusters of the print samples based on the feature set of each of the plurality of scanned images of the print samples. The machine readable instructions can further comprise a printer identifier to identify the printer of the print samples based on the clusters of the print samples.
Abstract:
Document copying systems and methods include initiating a copy job for copying a document having document content. A log of the copy job is generated, and the document is scanned to create a document content image. The log is encoded using an input image to produce a data-bearing halftone image which is merged with the document content image. The merged data-bearing halftone image and the document content image are printed to produce a copy of the document.
Abstract:
A forensic verification system (900) extracts a print signature via a print signature extractor (910) from a captured image of a printed halftone. The system (900) utilizes a comparator (920) to compare the print signature to a reference signature stored in a registry to determine differences between the print signature and the reference signature. The system (900) utilizes a forensic analyzer (930) to perform a forensic analysis on the signatures based on the comparison to authenticate the printed halftone.
Abstract:
Automated inspection method for detecting a defect in a printed image, comprising processing a raster image, sending the raster image to a print process, printing a printed image corresponding to the raster image onto a medium, capturing a target image from at least a part of the printed image at a lower resolution than the printed image, at least in a medium moving direction, converting at least a part of the raster image to a reference image, and comparing the reference image to the target image.
Abstract:
A method is provided of personalizing color reproduction of an output device by determining a user-specific color mapping. A user is enabled to individually select different color reproductions of a plurality of different test images according to the user's preferences, wherein the different color reproductions are associated with different color mappings. The test images are reproduced by the output device or a display device simulating the output device. The user-specific color mapping is determined by combining the color mappings of the selected color reproductions.
Abstract:
Disclosed is a selective document processing system and method. The selective document processing system includes a digital document analyzer configured to determine a number of regions on a digital document and a data type for each of the regions, the data type for each region being one of a number of predefined data types. The system also includes a first user interface to display the analyzed digital document and to allow the user to perform various functions relative to the displayed digital document including selecting desired regions, deleting regions, etc. The system also includes a selection interface activated from the first user interface for identifying at least one of the predefined data types that are displayed on the first user interface and that are further processed in predetermined processing pipelines.