Xerox Corporation

Other

Conduent Business Services, LLC

Xeroc Corporation

Saurabh Prabhat

Reiner Eschbach

Raja Bala

Edward Neil Chapman

Zhigang Fan

Lloyd A Williams

Joannes N M deJong

Mary Catherine McCorkindale

Barry Paul Mandel

Steven Robert Moore

Martin Sidney Maltz

Gavan Leonard Tredoux

Michael Robert Campanelli

Michael Robert Furst

Martin Krucinski

Robert J St Jacques, Jr

Emil Victor Rainero

Judith E Stinehour

Raja Srinivasan

Jennifer Watts-Englert

Vinothkumar Arputharaj

Bala Vijay Duraibabu

Aravind Sreekumar

Kenton Karl Hofmeister

Robert P Loce

Wencheng Wu

Edgar A Bernal

Beilei Xu

Robert Michael Lofthus

Dennis Lee Venable

Martin Edward Banton

Andrew T Martin

Abu Saeed Islam

Michael Branciforte

Alexander J Fioravanti

Premkumar Rajendran

Khalid M Rabb

Ruddy Castillo

Phillip J Emmett

Norman W Zeck

Brandon Scott McComber

Rakesh Suresh Kulkarni

James Milo Sweet

Safwan R Wshah

Roger T Kramer

Prince Gerald Albert

Elizabeth Dubiel Wayman

Kanishk Jain

Arun Bakthavachalu

Keith Andrew Buddendeck

Holly Elizabeth Turner

Vivek Harikrishnan Ramalingam

Richard Steven Born

Myriam Martinez

Preethi Raj Raajaratnam

Saravanan Krishnan

Shiv Singh Kansingh

Vinoth Kumar Arputharaj

Mohit Sorde

A computer-vision based method for validating an activity workflow of a human performer includes identifying a target activity. The method includes determining an expected sequence of actions associated with the target activity. The method includes receiving a video stream from an image capture device monitoring an activity performed by an associated human performer. The method includes determining an external cue in the video stream. The method includes associating a frame capturing the external cue as a first frame in a key frame sequence. The method includes determining an action being performed by the associated human performer in the key frame sequence. In response to determining the action in the key frame sequence matching an expected action in the target activity, the method includes verifying the action as being performed in the monitored activity. In response to not determining the action in the key frame sequence, the method includes generating an alert indicating an error in the monitored activity.

Computer-vision based process recognition of activity workflow of human performer

A system of identifying one or more fillable fields of an electronic form may include an electronic device, and a computer-readable storage medium that includes one or more programming instructions. The programming instructions are configured to instruct the electronic device to receive an electronic form, identify fillable field candidates of the electronic form, and determine, for each fillable field candidate, whether the fillable field candidate is a fillable field. The system updates metadata associated with the electronic form by applying a sequencing framework to only the fillable fields by obtaining position information for each fillable field that indicates a position of the fillable field on the document, sorting the fillable fields based on the position information to form a sequence of fillable fields, determining a designator to each fillable field that indicates a position of a corresponding fillable field in the sequence, and storing the designator.

Method and system of identifying fillable fields of an electronic form

Embodiments of the disclosure disclose methods, and systems for capturing, sharing and printing annotations. The method includes receiving a physical document including hand-written annotation, the hand-written annotation is made by a user corresponding to at least a portion of the physical document. The method further includes capturing the hand-written annotation and corresponding position information of the hand-written annotation, wherein capturing further includes capturing position information of the at least portion of the physical document. Further, the method includes storing the captured hand-written annotation, position information of the hand-written annotation and position information of the at least portion of the physical document. Moreover, the method includes associating the hand-written annotation to the at least portion of the physical document. Additionally, the method includes sharing the hand-written annotation with other users.

Methods and systems for capturing, sharing, and printing annotations

A document validation system receives a scan image of a document to be certified, analyzes the scan image to identify one or more characteristics of the scan image, and uses the identified characteristics to identify a security template. In response to a validation request, the system uses the identified security template to create a validation document that includes descriptive material comprising the location of one or more security elements on the document to be certified.

Method and system for creating a validation document for security

A document validation system receives a scan of a certified document. The system identifies a security template for the document, prompts a user to enter a validation document into the scanning device, receives the validation document, uses the security template identify the location of one or more security elements on the certified document, and analyzes the validation document to identify expected content that should appear on the certified document at the security element locations. The system determines whether the expected content matches actual content of the scan at the security element locations and generates a report of the result.

Semiautomatic multifunction device-based validation of secure documents

Disclosed is a system and methods for selecting, organizing and presenting selected regions of digital documents within a dynamic display window for the arrangement and review of such regions.

System and method for managing and reviewing document integration and updates

According to embodiments illustrated herein there is provided a method for determining a psychological type of a user. The method includes determining a first score for the user based on a profile of the user on a social media platform. Further, a second score is determined for the user based on activities of the user on the social media platform. Thereafter, a third score is determined for the user based on context of conversations of the user on the social media platform, which is determined based on a part of speech of each word in the conversations using a context database. Each word is categorized based on at least the part of speech associated with the word. The third score is determined based on the categorization. The psychological type of the user is determined based on the first score, the second score, and the third score.

Methods and systems for predicting psychological types

Methods and apparatus are presented for visual comparison of different portions of one or more source documents to emulate a paper folding gesture experience in a user device, in which the user uses a mouse or finger in a touchscreen device to circle two or more portions of interest in the same or separate source documents, and provides a different user input such as a pinch motion or zoom in feature to display the selected regions proximate one another for visual comparison.

Electronic content visual comparison apparatus and method

Some embodiments are directed to systems and methods for processing a check that is issued to an account holder by a bank. The method includes scanning, by a client device, at least one pre-defined machine-readable cypher that is present on the check, the check further defines at least one pattern; sending, by the client device, a service request including the scanned pre-defined machine-readable cypher to a server device; receiving, at the client device, a code that is tailored to the check based on an authentication of the service request from the server device, the code is machine-readable and includes at alphabet(s), a numeral(s), and/or a symbol(s); and changing the appearance, by the account holder, of the pattern on the check based on the received code.

Methods and systems for processing check based transactions using one time code

A system generates a secure barcode by: identifying a primary pattern for a two-dimensional barcode to be printed on a substrate, wherein the primary pattern comprises of a set of dark cells and a set of light cells; identifying a two-dimensional micro-shape, wherein the micro-shape has a size that is no larger than a size of each cell of the two-dimensional barcode; generating a secondary pattern comprising a plurality of the micro-shapes; and superimposing the secondary pattern with the primary pattern for the two-dimensional barcode to yield a secure barcode. The resulting two-dimensional barcode includes a primary pattern comprising a set of dark cells and a set of light cells, where the sets represent encoded data, along with a secondary pattern of micro-shapes that are superimposed with the primary pattern.

Augmenting barcodes with secondary encoding for anti-counterfeiting

A mobile electronic device is used to decode a printed correlation mark. The device receives an image of a printed correlation mark, identifies a decoding template, applies the template to detect hidden content within the printed correlation mark, and outputs an image of the detected hidden content on the display. The device may enhance the image before presenting it on the display.

Method and system for visualizing a correlation mark using an electronic device

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 for creating an ordered reading list for a set of documents includes identifying the topics among documents in a document set; clustering the document set into groups by topic; calculating a probability that a particular topic describes a given document in a cluster based upon the occurrence of the keywords in the document; determining relevant documents in a cluster based on a probability distribution; determining relevant information in a document by repeating a similar operation on the document paragraphs; generating an ordered reading list for the related documents of the cluster based on the relevance; and associating a visual que with non-redundant information in each document to indicate which paragraphs contain the relevant information.

Method and system for creating ordered reading lists from unstructured document sets

Systems, methods, and computer-readable media for managing extensibility, e.g., on a network of multi-function devices are provided. The system includes an application catalog, in communication with an application database of a catalog server and configured to load applications therefrom. The system also includes a device manager configured to discover one or more devices on a network and to allow selection of one or more selected devices from among the one or more devices. The system further includes a data transfer system in communication with the one or more devices and to cause an application to be transmitted from the application catalog to the one or more selected devices, such that the one or more selected devices receive the application without communicating directly with the application database.

Multi-function device application catalog with integrated discovery, management, and application designer

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Webster, NY, United States of America

Saurabh Prabhat