Xerox Corporation

Other

Fuji Xerox Co., Ltd.

Michael Robert Campanelli

Donald J Drake

Dennis Lee Venable

William G Hawkins

William A Fuss

Zhigang Fan

Steven Jay Harrington

James E Bollman

Safwan R Wshah

Hong Heather Yu

David C Robinson

Takashi Nagao

Guo-Yau Lin

Saurabh Prabhat

Thomas A Tellier

Toshiya Yamada

Gozde Bozdagi

Timothy D Uetz

Kazuya Yamada

Robert Bryll

Reiner Eschbach

Gary Alan Kneezel

Ramesh Nagarajan

Francis Kapo Tse

John C Handley

Stephen F Pond

Cathie J Burke

Yingjun Bai

David E Rumph

James F O'Neill

Dale R Ims

James Michael Sanchez

Mary Catherine McCorkindale

Diane Atkinson

Kovendhan Ponnavaikko

Chithralekha Balamurugan

Raymond E Bailey

Raju Seetharam

Nischal M Piratla

Isaiah Monty Simmons

Raja Srinivasan

Pamela J Hartman

Daniel R Blessington

Gregory Scott Widener

Yingbo Zhou

Vinoth Kumar Arputharaj

Dennis A Venable

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.

Extended gamut colorant for print job based on user preferences

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.

Method and system for enabling optimal colorant job programming

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.

Global registration of filled-out content in an application form

A method of creating an electronic file corresponding to a printed artifact may include receiving an image file of a document page. The method may include analyzing the image file to detect a potential form identifier on the document page and automatically (without human intervention) performing a search to identify an actual form that corresponds to the potential form identifier. The method may further include validating that the image file is of a document page that corresponds to the actual form, locating a probable fill-in field on the document page and mapping the probable fill-in field to an actual fill-in field of the actual form.

Automated form fill-in via form retrieval

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.

Intelligent spot color recipe picker for digital front end

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.

Dynamically generating table of contents for printable or scanned content

A method, non-transitory computer readable medium, and apparatus for classifying machine printed text and handwritten text in an input are disclosed. For example, the method defines a perspective for an auto-encoder, receives the input for the auto-encoder, wherein the input comprises a document comprising the machine printed text and the handwritten text, performs an encoding on the input using an auto-encoder to generate a classifier, applies the classifier on the input and generates an output that separates the machine printed text and the handwritten text in the input based on the classifier in accordance with the perspective.

Method and apparatus for classifying machine printed text and handwritten text

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.

Methods and devices for form-independent registration of filled-out content

A method for processing application forms comprising extracting content from filled first forms of consumers, each of the first forms comprising one or more fields, arranging the extracted content of one or more fields of the plurality of fields of the plurality of filled first forms in a first matrix; encoding the content of each of the rows of the first matrix to define a second matrix; and disposing the encoded content of the second matrix in multiple empty second forms such that content of one column is disposed on only one of the empty second forms, each of the second forms includes the same type and number of fields as that of one of the filled first forms, further wherein the number of the filled second forms is based on the number of the one or more fields in the filled first forms.

Methods and systems for processing application forms

A method and system are disclosed for field level encryption of a document that provides a hardcopy having redacted sensitive information fields with multiple levels of access and an augmented reality view of the hardcopy displaying the unredacted sensitive information fields. Identification of the sensitive information fields may be accomplished via highlight color, user designation, or linguistic analysis. The identified fields are encrypted and may be stored separately, embedded in place, or embedded in a two-dimensional glyph. This information may be stored in association with a device identification of an authenticated mobile device and a document identification. A redacted hardcopy of the original document is output. A mobile device captures an image of the redacted hardcopy, decrypts the encrypted sensitive information fields, and generates an augmented reality view of the hardcopy with the previously redacted sensitive information fields visible on the display of the mobile device.

Mobile field level encryption of private documents

An image file representing at least a portion of a printed document is processed to highlight the differences between foreground material (e.g., text or other characters) from background. The method includes selecting a neighborhood of pixels, determining a weighted average of an attribute values (e.g., luminance) for each pixel, and modifying each pixel's value based on the weighted average. Graylevel scaling, error diffusion, and a bit level conversion are also performed each pixel ends up with either a first attribute value level (e.g., luminance of 0) or a second attribute value level (e.g., luminance of 255).

Method of processing an image to clarify text in the image

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.

Augmenting page orientation direction detection in a digital document processing environment

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.

Automated method for extracting highlighted regions in scanned source

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&#xb0; turn clockwise or counterclockwise or, in the alternative, no turn from the first orientation. The second orientation will result in a 180&#xb0; 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. However, for documents that have a limited number of 'i's, e.g. such as Russian documents or documents with all capital letters, the &#x201c;T&#x201d; may also be used.

Page orientation detection based on selective character recognition

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.

OCR-guided text tokenization of digital images

Growing community of inventors

Webster, NY, United States of America

Michael Robert Campanelli