Patents by Inventor Stephen Michael Thompson

Stephen Michael Thompson has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20190171900
    Abstract: Techniques for binarization and extraction of information from image data are disclosed. The inventive concepts include independently binarizing portions of the image data on the basis of individual features, e.g. per connected component, and using multiple different binarization thresholds to obtain the best possible binarization result for each portion of the image data. Determining the quality of each binarization result may be based on attempted recognition and/or extraction of information therefrom. Independently binarized portions may be assembled into a contiguous result. In one embodiment, a method includes: identifying a region of interest within a digital image; generating a plurality of binarized images based on the region of interest using different binarization thresholds; subjecting the region of interest within a digital image to a plurality of thresholding and extraction iterations; and extracting data from some or all of the plurality of binarized images.
    Type: Application
    Filed: February 4, 2019
    Publication date: June 6, 2019
    Inventors: Christopher W. Thrasher, Alexander Shustorovich, Stephen Michael Thompson, Jan W. Amtrup, Anthony Macciola
  • Patent number: 10242285
    Abstract: Techniques for improved binarization and extraction of information from digital image data are disclosed in accordance with various embodiments. The inventive concepts include independently binarizing portions of the image data on the basis of individual features, e.g. per connected component, and using multiple different binarization thresholds to obtain the best possible binarization result for each portion of the image data independently binarized. Determining the quality of each binarization result may be based on attempted recognition and/or extraction of information therefrom. Independently binarized portions may be assembled into a contiguous result. In one embodiment, a method includes: identifying a region of interest within a digital image; generating a plurality of binarized images based on the region of interest using different binarization thresholds; and extracting data from some or all of the plurality of binarized images. Corresponding systems and computer program products are also disclosed.
    Type: Grant
    Filed: July 19, 2016
    Date of Patent: March 26, 2019
    Assignee: KOFAX, INC.
    Inventors: Christopher W. Thrasher, Alexander Shustorovich, Stephen Michael Thompson, Jan W. Amtrup, Anthony Macciola
  • Patent number: 10235446
    Abstract: According to one embodiment, a computer-implemented method for cleaning up a data set having a possible incorrect label includes: selecting a plurality of training documents; estimating a quality of an organization of a plurality of categories; and determining whether the quality of the organization is greater than a predetermined quality threshold. Corresponding system and computer program product embodiments are also presented. Other aspects and advantages of the present invention will become apparent from the following detailed description, which, when taken in conjunction with the drawings, illustrate by way of example the principles of the invention.
    Type: Grant
    Filed: August 1, 2017
    Date of Patent: March 19, 2019
    Assignee: KOFAX, INC.
    Inventors: Mauritius A. R. Schmidtler, Jan W. Amtrup, Stephen Michael Thompson, Anthony Sarah
  • Publication number: 20190035061
    Abstract: Systems, computer program products, and techniques for detecting and/or reconstructing objects depicted in digital image data within a three-dimensional space are disclosed, according to various exemplary embodiments. The inventive concepts uniquely utilize internal features to accomplish reconstruction, thereby avoiding reliance on reconstructing objects based on information derived from location of edges. The inventive concepts thus provide an improvement over conventional object reconstruction since objects may be detected and/or reconstructed even when edges are obscured or not depicted in the digital image data. In one aspect, reconstructing an object depicted in a digital image includes using a processor to: detect a plurality of identifying features of the object, where the identifying features are located internally with respect to the object; and reconstruct the digital image of the object within a three dimensional coordinate space based at least in part on some or all of the identifying features.
    Type: Application
    Filed: October 3, 2018
    Publication date: January 31, 2019
    Inventors: Jiyong Ma, Stephen Michael Thompson, Jan W. Amtrup
  • Patent number: 10140511
    Abstract: According to one embodiment, a computer-implemented method is configured for building a classification and/or data extraction knowledge base using an electronic form. The method includes: receiving an electronic form having associated therewith a plurality of metadata labels, each metadata label corresponding to at least one element of interest represented within the electronic form; parsing the plurality of metadata labels to determine characteristic features of the element(s) of interest; building a representation of the electronic form based on the plurality of metadata labels; generating a plurality of permutations of the representation of the electronic form by applying a predetermined set of variations to the representation; and training either a classification model, an extraction model, or both using: the representation of the electronic form, and the plurality of permutations of the representation of the electronic form. Corresponding systems and computer program products are also disclosed.
    Type: Grant
    Filed: December 30, 2016
    Date of Patent: November 27, 2018
    Assignee: KOFAX, INC.
    Inventors: Anthony Macciola, Jan W. Amtrup, Stephen Michael Thompson
  • Patent number: 10127636
    Abstract: Systems, computer program products, and techniques for reconstructing objects depicted in digital image data within a three-dimensional space are disclosed, according to various exemplary embodiments. The inventive concepts uniquely utilize internal features to accomplish reconstruction, thereby avoiding reliance on reconstructing objects based on information derived from location of edges. The inventive concepts thus provide an improvement over conventional object reconstruction since objects may be reconstructed even when edges are obscured or not depicted in the digital image data.
    Type: Grant
    Filed: August 11, 2016
    Date of Patent: November 13, 2018
    Assignee: KOFAX, INC.
    Inventors: Jiyong Ma, Stephen Michael Thompson, Jan W. Amtrup
  • Patent number: 9934433
    Abstract: A computer program product includes program instructions configured to cause a processor, to: perform optical character recognition (OCR) on an image of a document; extract an identifier of the document from the image based at least in part on the OCR; compare at least portions of the identifier with content from one or more reference data sources; and determine whether the identifier is valid based at least in part on the comparison. The content comprises global address information; while the content from the reference is derived from geographic information. Deriving the content from the geographic information includes: obtaining the geographic information; and parsing the geographic information according to a set of predefined heuristic rules, where the heuristic rules are configured to normalize the global address information obtained from the one or more sources according to a single convention for representing address information.
    Type: Grant
    Filed: August 24, 2017
    Date of Patent: April 3, 2018
    Assignee: KOFAX, INC.
    Inventors: Stephen Michael Thompson, Jan W. Amtrup, Anthony Macciola
  • Publication number: 20170351915
    Abstract: A computer program product includes program instructions configured to cause a processor, to: perform optical character recognition (OCR) on an image of a document; extract an identifier of the document from the image based at least in part on the OCR; compare at least portions of the identifier with content from one or more reference data sources; and determine whether the identifier is valid based at least in part on the comparison. The content comprises global address information; while the content from the reference is derived from geographic information. Deriving the content from the geographic information includes: obtaining the geographic information; and parsing the geographic information according to a set of predefined heuristic rules, where the heuristic rules are configured to normalize the global address information obtained from the one or more sources according to a single convention for representing address information.
    Type: Application
    Filed: August 24, 2017
    Publication date: December 7, 2017
    Inventors: Stephen Michael Thompson, Jan W. Amtrup, Anthony Macciola
  • Publication number: 20170329838
    Abstract: According to one embodiment, a computer-implemented method for cleaning up a data set having a possible incorrect label includes: selecting a plurality of training documents; estimating a quality of an organization of a plurality of categories; and determining whether the quality of the organization is greater than a predetermined quality threshold. Corresponding system and computer program product embodiments are also presented. Other aspects and advantages of the present invention will become apparent from the following detailed description, which, when taken in conjunction with the drawings, illustrate by way of example the principles of the invention.
    Type: Application
    Filed: August 1, 2017
    Publication date: November 16, 2017
    Inventors: Mauritius A.R. Schmidtler, Jan W. Amtrup, Stephen Michael Thompson, Anthony Sarah
  • Publication number: 20170286764
    Abstract: Systems, computer program products, and techniques for detecting objects depicted in digital image data are disclosed, according to various exemplary embodiments. The inventive concepts uniquely utilize internal features to accomplish object detection, thereby avoiding reliance on detecting object edges and/or transitions between the object and other portions of the digital image data, e.g. background textures or other objects. The inventive concepts thus provide an improvement over conventional object detection since objects may be detected even when edges are obscured or not depicted in the digital image data. In one aspect, a computer-implemented method of detecting an object depicted in a digital image includes: detecting a plurality of identifying features of the object, wherein the plurality of identifying features are located internally with respect to the object; and projecting a location of one or more edges of the object based at least in part on the plurality of identifying features.
    Type: Application
    Filed: August 11, 2016
    Publication date: October 5, 2017
    Inventors: Jiyong Ma, Stephen Michael Thompson, Jan W. Amtrup
  • Patent number: 9779296
    Abstract: Systems, computer program products, and techniques for detecting objects depicted in digital image data are disclosed, according to various exemplary embodiments. The inventive concepts uniquely utilize internal features to accomplish object detection, thereby avoiding reliance on detecting object edges and/or transitions between the object and other portions of the digital image data, e.g. background textures or other objects. The inventive concepts thus provide an improvement over conventional object detection since objects may be detected even when edges are obscured or not depicted in the digital image data. In one aspect, a computer-implemented method of detecting an object depicted in a digital image includes: detecting a plurality of identifying features of the object, wherein the plurality of identifying features are located internally with respect to the object; and projecting a location of one or more edges of the object based at least in part on the plurality of identifying features.
    Type: Grant
    Filed: August 11, 2016
    Date of Patent: October 3, 2017
    Assignee: Kofax, Inc.
    Inventors: Jiyong Ma, Stephen Michael Thompson, Jan W. Amtrup
  • Patent number: 9767354
    Abstract: According to one embodiment, a computer-implemented method includes: capturing an image of a document using a camera of a mobile device; performing optical character recognition (OCR) on the image of the document; extracting an identifier of the document from the image based at least in part on the OCR; comparing the identifier with content from one or more reference data sources, wherein the content from the one or more reference data sources comprises global address information; and determining whether the identifier is valid based at least in part on the comparison. The method may optionally include normalizing the extracted identifier, retrieving additional geographic information, correcting OCR errors, etc. based on comparing extracted information with reference content. Corresponding systems and computer program products are also disclosed.
    Type: Grant
    Filed: May 4, 2016
    Date of Patent: September 19, 2017
    Assignee: KOFAX, INC.
    Inventors: Stephen Michael Thompson, Jan W. Amtrup, Anthony Macciola
  • Patent number: 9769354
    Abstract: An efficient method and system to enhance digital acquisition devices for analog data is presented. The enhancements offered by the method and system are available to the user in local as well as in remote deployments yielding efficiency gains for a large variety of business processes. The quality enhancements of the acquired digital data are achieved efficiently by employing virtual reacquisition. The method of virtual reacquisition renders unnecessary the physical reacquisition of the analog data in case the digital data obtained by the acquisition device are of insufficient quality. The method and system allows multiple users to access the same acquisition device for analog data. In some embodiments, one or more users can virtually reacquire data provided by multiple analog or digital sources. The acquired raw data can be processed by each user according to his personal preferences and/or requirements.
    Type: Grant
    Filed: July 30, 2015
    Date of Patent: September 19, 2017
    Assignee: KOFAX, INC.
    Inventors: Christopher W. Thrasher, Alexander Shustorovich, Stephen Michael Thompson, Jan W. Amtrup, Anthony Macciola, Roland G. Borrey, Mauritius A. R. Schmidtler, Robert A. Taylor, Joel S. Fechter, Hari S. Asuri
  • Patent number: 9754014
    Abstract: According to one embodiment, a computer-implemented method for confirming/rejecting a most relevant example includes: generating a binary decision model by training a binary classifier using a plurality of training documents; classifying one or more test documents into one of a plurality of categories using the binary decision model, wherein the one or more test documents lack a user-defined category label; selecting a most relevant example of the classified test documents from among the classified test documents; displaying, using a display of the computer, the most relevant example of the classified test documents to a user; receiving, via the computer and from the user, a confirmation or a negation of a classification label of the most relevant example of the classified test documents; and storing the confirmation or the negation of the classification label of the most relevant example of the classified test documents to a memory of the computer.
    Type: Grant
    Filed: February 1, 2017
    Date of Patent: September 5, 2017
    Assignee: Kofax, Inc.
    Inventors: Mauritius A. R. Schmidtler, Jan W. Amtrup, Stephen Michael Thompson, Anthony Sarah
  • Patent number: 9754164
    Abstract: Systems and methods for mobile image data capture and processing are disclosed. The techniques encompass receipt or capture of digital image data, detecting an object such as a document depicted in a digital image corresponding to the digital image data, processing the digital image to improve image quality, classifying the object from the processed image data, and extracting useful information from the object. Processing may improve image quality by correcting artifacts such as distortion, skew, blur, shadows, etc. common to digital images captured using mobile devices. Classification is based on identifying unique features (and/or combinations thereof) within the image data and determining whether the identified features indicate the object belongs to a class of known objects having similar characteristics, or is unique to all known classes. Extraction is based in whole or in part on object classification. All operations may be performed using mobile technology exclusively.
    Type: Grant
    Filed: August 4, 2015
    Date of Patent: September 5, 2017
    Assignee: Kofax, Inc.
    Inventors: Anthony Macciola, Jan W. Amtrup, Jiyong Ma, Alexander Shustorovich, Christopher W. Thrasher, Stephen Michael Thompson
  • Publication number: 20170140030
    Abstract: According to one embodiment, a computer-implemented method for confirming/rejecting a most relevant example includes: generating a binary decision model by training a binary classifier using a plurality of training documents; classifying one or more test documents into one of a plurality of categories using the binary decision model, wherein the one or more test documents lack a user-defined category label; selecting a most relevant example of the classified test documents from among the classified test documents; displaying, using a display of the computer, the most relevant example of the classified test documents to a user; receiving, via the computer and from the user, a confirmation or a negation of a classification label of the most relevant example of the classified test documents; and storing the confirmation or the negation of the classification label of the most relevant example of the classified test documents to a memory of the computer.
    Type: Application
    Filed: February 1, 2017
    Publication date: May 18, 2017
    Inventors: Mauritius A.R. Schmidtler, Jan W. Amtrup, Stephen Michael Thompson, Anthony Sarah
  • Publication number: 20170109819
    Abstract: A method includes: receiving or capturing an image comprising an identity document (ID) using a mobile device; classifying the ID; analyzing the ID based at least in part on the ID classification; determining at least some identifying information from the ID; at least one of building an ID profile and updating the ID profile, based at least in part on the analysis; providing at least one of the ID and the ID classification to a loan application workflow and/or a new financial account workflow; and driving at least a portion of the workflow based at least in part on the ID and the ID classification. Corresponding systems and computer program products are also disclosed.
    Type: Application
    Filed: December 29, 2016
    Publication date: April 20, 2017
    Applicant: Kofax, Inc.
    Inventors: Jan W. Amtrup, Stephen Michael Thompson, Steven Kilby, Anthony Macciola
  • Publication number: 20170111532
    Abstract: The presently disclosed inventive concepts encompass capturing video data using a mobile device, streaming the captured video data to a server for processing of the video data in real-time or near-real time, and providing the server's processing result to the mobile device for additional analysis and/or processing of the captured video data, the processing result, or both. In one embodiment an image processing server is configured to: process, in real time, input streamed to the server from a mobile device, the input comprising one or more frames of digital video data; and output a result of processing the input to the mobile device. In another embodiment, a method includes capturing video data using a mobile device, streaming the video data to an image processing server, receiving a processing result from the server, and further processing the captured video data and/or the processing result using the mobile device.
    Type: Application
    Filed: December 30, 2016
    Publication date: April 20, 2017
    Inventors: Jan W. Amtrup, Jiyong Ma, Stephen Michael Thompson, Alexander Shustorovich, Christopher W. Thrasher, Anthony Macciola
  • Publication number: 20170109610
    Abstract: According to one embodiment, a computer-implemented method is configured for building a classification and/or data extraction knowledge base using an electronic form. The method includes: receiving an electronic form having associated therewith a plurality of metadata labels, each metadata label corresponding to at least one element of interest represented within the electronic form; parsing the plurality of metadata labels to determine characteristic features of the element(s) of interest; building a representation of the electronic form based on the plurality of metadata labels; generating a plurality of permutations of the representation of the electronic form by applying a predetermined set of variations to the representation; and training either a classification model, an extraction model, or both using: the representation of the electronic form, and the plurality of permutations of the representation of the electronic form. Corresponding systems and computer program products are also disclosed.
    Type: Application
    Filed: December 30, 2016
    Publication date: April 20, 2017
    Inventors: Anthony Macciola, Jan W. Amtrup, Stephen Michael Thompson
  • Publication number: 20170024629
    Abstract: Techniques for improved binarization and extraction of information from digital image data are disclosed in accordance with various embodiments. The inventive concepts include independently binarizing portions of the image data on the basis of individual features, e.g. per connected component, and using multiple different binarization thresholds to obtain the best possible binarization result for each portion of the image data independently binarized. Determining the quality of each binarization result may be based on attempted recognition and/or extraction of information therefrom. Independently binarized portions may be assembled into a contiguous result. In one embodiment, a method includes: identifying a region of interest within a digital image; generating a plurality of binarized images based on the region of interest using different binarization thresholds; and extracting data from some or all of the plurality of binarized images. Corresponding systems and computer program products are also disclosed.
    Type: Application
    Filed: July 19, 2016
    Publication date: January 26, 2017
    Inventors: Christopher W. Thrasher, Alexander Shustorovich, Stephen Michael Thompson, Jan W. Amtrup, Anthony Macciola