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, 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: 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: 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: 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 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: 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: 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: 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: What is disclosed is a novel system and method for augmenting present methods used for determining the orientation direction automatically being detected of digital pages of a plurality of scanned documents in a digital document processing environment. The present method takes advantage of the observation that pages scanned in data processing centers are often highly correlated. The present method contains five primary steps. 1) Page orientation (i.e., up/down) is detected using a traditional method. 2) Each page is classified as either directional or non-directional. 3) The pages classified as directional are clustered into groups. 4) The direction for each group is determined. 5) The directional group's direction is used to revise the orientation for pages contained in the group. Through the implementation of the teachings hereof, performance, in terms of both speed and accuracy, are very high relative to current methods and detection error rates can be reduced significantly.

Abstract: An automated method for extracting highlighted regions in a scanned text documents includes color masking of highlight regions, extracting text from highlighted regions, recognizing the characters in extracted text optically and inserting the recognized characters to new document in order to easily identify highlighted text in scanned images. Using a two-layer multi-mask compression technology configured in a scanned export image path, edges and text regions can be extracted and together with the use of mask coordinates and associated mask colors, all highlighted texts can be easily identified and extracted. Optical Character Recognition (OCR) can then be utilized to appropriate summarization of different extracted highlighted texts.

Abstract: A system and method for character recognition with document orientation determination is shown. The method is a detection of simple page orientation based on a limited version of character recognition. The method includes binairizing an input image which has a plurality of alphanumeric characters with a first orientation. The method continues with extracting the connected components and determining a second orientation where the second orientation is based on a 90° turn clockwise or counterclockwise or, in the alternative, no turn from the first orientation. The second orientation will result in a 180° variance from the proper orientation or it will be the proper orientation. The method continues with implementing a limited version of optical character recognition for an analysis of a character and determining if that second orientation is upside down, based at least in part on the analysis. This method generally uses the character “i” for analysis.

Abstract: An image processing method in which OCR is used to guide the text tokenization. More particularly, OCR is first performed on each symbol in the scanned image. For example, a symbol may be a number, letter, or other character. During the tokenization process, the OCR results are used to select appropriate matching criteria for each symbol. The symbols that are recognized as different characters are not allowed to be clustered into the same group. The symbols with the same OCR results are clustered according to the recognition confidence levels.

Abstract: What is disclosed is a novel system and method for augmenting present methods used for determining the orientation direction automatically being detected of digital pages of a plurality of scanned documents in a digital document processing environment. The present method takes advantage of the observation that pages scanned in data processing centers are often highly correlated. The present method contains five primary steps. 1) Page orientation (i.e., up/down) is detected using a traditional method. 2) Each page is classified as either directional or non-directional. 3) The pages classified as directional are clustered into groups. 4) The direction for each group is determined. 5) The directional group's direction is used to revise the orientation for pages contained in the group. Through the implementation of the teachings hereof, performance, in terms of both speed and accuracy, are very high relative to current methods and detection error rates can be reduced significantly.

Abstract: A processor receives infrared inputs from at least one sensor when an item is placed upon a user interface detectable by the sensor. The processor evaluates the infrared inputs to identify an infrared-printed content printed on the item. The processor retrieves an electronic representation related to the item from at least one computer storage device based on the infrared-printed content and displays the electronic representation related to the item on the user interface.

Abstract: An assessment authoring system implemented by an operative set of processor executable instructions configured for execution by at least one processor includes a user interface and an assessment generation component. The user interface communicates user input and the assessment generation component receives the user input from the user interface. The assessment generation component generates an assessment data structure for printing on a multifunction device. The printed assessment includes a marking region adapted to receive a human marking. The system may utilize a model or rubric that can be used to score the human marks when are processed by image processing.

Abstract: An image processing method in which OCR is used to guide the text tokenization. More particularly, OCR is first performed on each symbol in the scanned image. For example, a symbol may be a number, letter, or other character. During the tokenization process, the OCR results are used to select appropriate matching criteria for each symbol. The symbols that are recognized as different characters are not allowed to be clustered into the same group. The symbols with the same OCR results are clustered according to the recognition confidence levels.