Abstract:
A method and apparatus for removing blur in an image is disclosed. The blur in the image is caused by relative motion between the imaging device and the object being imaged. A set of differences between the pixel values in the image is calculated. The set of differences in pixel values are divided into two groups, wherein the first group of differences in pixel values corresponds to differences in pixel values due to noise, and the second group of differences in pixel values corresponds to differences in pixel values due to noise and motion. An estimate of the motion blur is determined using the second group of differences in pixel values. The estimate of the blur is then used to remove the blur from an image.
Abstract:
A method for enhancing security printing includes generating data for a region of interest (14), where the data includes information for at least one of locating or analyzing the region of interest (14) using a secure registry (18). The method further includes encrypting a deterrent (12) with the data, and printing the deterrent (12) and the region of interest (14) on an object (10).
Abstract:
Various backgrounds, forms, or templates are scanned, features are extracted, and the features are stored in memory. When a composite image is scanned (image of interest plus part of background), features are extracted from the composite image. Features in the composite image are correlated to stored background features to identify which background is present. If necessary, background features from memory are shifted in two dimensions to accommodate displacement of the background. Features corresponding to the background are deleted from the features in the composite image. For forms and templates, features are used to identify the background, and then the information is directly extracted from the composite image.
Abstract:
Detecting a workflow termination. An object with embedded access control is sent to a next participant in a workflow, wherein the embedded access control is provided and enforced by placing a subset of access keys for individual content-parts into a unique key-map entry for each participant, wherein the object is a Publicly Posted Composite Document. A workflow termination is detected after failure to receive a confirmation token from the next participant after a specified condition is not met.
Abstract:
Systems and methods for generating an incremental information object (IIO) from an information object (IO). The method includes analyzing an IO to identify code, wherein the IO is made up of a number of tiles, and wherein the tiles make up a code. The method also includes confirming the code. If the code is successfully confirmed, the method further includes modifying the IO by adding binary information IO the IO through the use of color scales that are not recognizable by an optical IO reader, generating a new progressive code comprising a bitstream, and overwriting the bitstream on the tiles.
Abstract:
A system and method to error correct extant electronic documents is disclosed. An electronic document may be rasterized to obtain a pixel representation of the electronic document (e.g., raster image). One or more optical character recognition (OCR) tasks may be performed on the raster image of the electronic document. Errors discovered by the OCR tasks may be corrected and a customized error corrected version of the electronic document may be created and stored. If the author of the electronic document is known, the raster image may be compared to a personalized tf*idf error dictionary associated with the author to determine known OCR errors specific to the author. The raster image may also be compared to a personalized electronic error dictionary associated with the author to determine known typographical errors specific to the author.
Abstract:
An image analyzer (120) aggregates image samples (140) into a cluster (170) based on the image samples (140) being classified from a subset of image metrics applied to a reference sample (130). The image analyzer (120) generates an image quality output (150) by analyzing a distance (180) from the cluster (180) relative to another cluster.
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:
A soft proof system includes a display module and a manager. The display module displays a visual representation of a print product, and a color array expressing a tolerance range of a color component of the visual representation and a target color within the range. Via the manager, a visualization function produces the visual representation and the color array according to a soft proof array. A tolerance selection function, associated with the display module, enables selection of the tolerance range for at least a portion of the print product, wherein the selection is expressed on the display in the visual representation and in the color array.
Abstract:
A system and method to error correct extant electronic documents is disclosed. An electronic document may be rasterized to obtain a pixel representation of the electronic document (e.g., raster image). One or more optical character recognition (OCR) tasks may be performed on the raster image of the electronic document. Errors discovered by the OCR tasks may be corrected and a customized error corrected version of the electronic document may be created and stored. If the author of the electronic document is known, the raster image may be compared to a personalized tf*idf error dictionary associated with the author to determine known OCR errors specific to the author. The raster image may also be compared to a personalized electronic error dictionary associated with the author to determine known typographical errors specific to the author.