Abstract:
Methods, devices, and systems automatically generate electronic images of the printed appearance of a multi-color image using first print processing to generate a first sample image, and using second print processing to generate a second sample image. Pixels in the first sample image and the second sample image are compared to a color standard to generate a first error value and a second error value. The first error value is compared to the second error value for each pixel to produce an error value reduction associated with the second print processing for each pixel of the multi-color image. The error value reduction for each pixel of the multi-color image is compared to a threshold to identify benefited pixels. The benefited pixels can be displayed on a contrasting background, and/or the electronic image can be automatically printed using the second print processing if the benefited pixels exceed a minimum value.
Abstract:
Method, system, and graphical user interface for enabling optimal;colorant job programming. A graphical user interface displays a plurality of gamut mode selectable features. One or more of the gamut mode selectable features can be selected for image processing of an image. A graphical image can be displayed within the next of the user interface based on image processing of the image, and in response to selection of a gamut mode selectable feature. The resulting displayed graphical image with the user interface can demonstrate to a user the benefit of utilizing additional colorant on the image particular pixels in the graphical image, which can benefit from the additional colorant.
Abstract:
A device for registration of content in a filled-out application form is disclosed. The device is configured for scanning at least one portion of the filled-out application form. The device is configured for extracting filled-out content from the scanned form. The geometrical features of the master form are retrieved. The master form includes one or more anchor fields. Each anchor field has one or more anchor zones and at least one anchor segment. At least one anchor segment has global adjustment parameters and geometrical features. The extracted filled-out content is related to the retrieved geometrical features of a master form to create a new geometrical representation of the extracted filled-out content of the scanned application form. The new representation of the filled-out content based on the global adjustment parameters for the at least one anchor segment is globally adjusted. The globally adjusted filled-out content is locally adjusted.
Abstract:
A system and method for automatic selection of at least one spot color to be processed by a digital image press includes identifying process colorants to determine principal and extended gamuts thereof. Spot color recipes of the principal and extended gamuts are retrieved from a spot color library, along with a set of attributes corresponding to use of colorants by the digital image press. For each spot color recipe, a combined attribute score is calculated relating to the principal gamut and the extended gamut, spot color recipe of the extended gamut or principal gamut is then identified for use based upon which has the higher combined attribute score. The spot color library is then updated in accordance with the identified recipe for production of each spot color. Print jobs are then output with the appropriate spot color recipe automatically selected.
Abstract:
A device for registration of content in a filled-out application form is disclosed. The device is configured for scanning at least one portion of the filled-out application form. The device is configured for extracting filled-out content from the scanned form. The geometrical features of the master form are retrieved. The master form includes one or more anchor fields. Each anchor field has one or more anchor zones and at least one anchor segment. At least one anchor segment has global adjustment parameters and geometrical features. The extracted filled-out content is related to the retrieved geometrical features of a master form to create a new geometrical representation of the extracted filled-out content of the scanned application form. The new representation of the filled-out content based on the global adjustment parameters for the at least one anchor segment is globally adjusted. The globally adjusted filled-out content based on the geometrical features for the anchor segments is locally adjusted.
Abstract:
Methods, devices, and systems automatically generate electronic images of the printed appearance of a multi-color image using first print processing to generate a first sample image, and using second print processing to generate a second sample image. Pixels in the first sample image and the second sample image are compared to a color standard to generate a first error value and a second error value. The first error value is compared to the second error value for each pixel to produce an error value reduction associated with the second print processing for each pixel of the multi-color image. The error value reduction for each pixel of the multi-color image is compared to a threshold to identify benefited pixels. The benefited pixels can be displayed on a contrasting background, and/or the electronic image can be automatically printed using the second print processing if the benefited pixels exceed a minimum value.
Abstract:
Methods and devices receive a document comprising raster images, using an optical scanner. These methods and devices automatically identify topical items within the raster images based on raster content in the raster images, using a processor. Further, these methods and devices automatically associate the topical items with topics in the document based on previously established rules for identifying topical sections, and automatically crop the topical items from the raster images to produce cropped portions of the raster images, using the processor. These methods and devices then automatically create an index for the document by combining the cropped portions of the raster images organized by the topics, using the processor, and output the index from the processor.
Abstract:
Method and systems are provided for recognizing characters in an original image. The images received in the system as a set of pixels representing the original image as a character skeleton and a chaincore representation thereof. A skeleton intersection points are identified using a basis for determining a cutting points in the chaincore contours compared to the cutting points are then used to define cutting lines for segleg the original image into distinct segments. The segments are analyzed with respect to their geometric properties individually and relative to adjacent to other segments for determination that select ones of the segments may be combined wherein the combination is expected to have a high probability of conformance to a likely a digit or character. Verification that the combined string is a recognizable digit or character is accomplished using a convolutional neural network digit recognizer.
Abstract:
Method, system, and graphical user interface for enabling optimal colorant job programming. A graphical user interface displays a plurality of gamut mode selectable features. One or more of the gamut mode selectable features can be selected for image processing of an image. A graphical image can be displayed within the next of the user interface based on image processing of the image, and in response to selection of a gamut mode selectable feature. The resulting displayed graphical image with the user interface can demonstrate to a user the benefit of utilizing additional colorant on the image particular pixels in the graphical image, which can benefit from the additional colorant.