Patents by Inventor Karl M. GROETHE

Karl M. GROETHE 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).

  • Patent number: 11816326
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Grant
    Filed: November 22, 2021
    Date of Patent: November 14, 2023
    Assignee: Apple Inc.
    Inventors: Mei-Qun Xia, Jannes G. Dolfing, Ryan S. Dixon, Karl M. Groethe, Karan Misra, Jerome R. Bellegarda, Ueli Meier
  • Publication number: 20230333732
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Application
    Filed: June 16, 2023
    Publication date: October 19, 2023
    Inventors: Mei-Qun XIA, Jannes G. DOLFING, Ryan S. DIXON, Karl M. GROETHE, Karan MISRA, Jerome R. BELLEGARDA, Ueli MEIER
  • Publication number: 20220083216
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Application
    Filed: November 22, 2021
    Publication date: March 17, 2022
    Inventors: Mei-Qun XIA, Jannes G. DOLFING, Ryan S. DIXON, Karl M. GROETHE, Karan MISRA, Jerome R. BELLEGARDA, Ueli MEIER
  • Patent number: 11182069
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Grant
    Filed: February 5, 2020
    Date of Patent: November 23, 2021
    Assignee: Apple Inc.
    Inventors: Mei-Qun Xia, Jannes G. Dolfing, Ryan S. Dixon, Karl M. Groethe, Karan Misra, Jerome R. Bellegarda, Ueli Meier
  • Patent number: 11016658
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Grant
    Filed: July 8, 2019
    Date of Patent: May 25, 2021
    Assignee: Apple Inc.
    Inventors: Mei-Qun Xia, Jannes G. Dolfing, Ryan S. Dixon, Karl M. Groethe, Karan Misra, Jerome R. Bellegarda, Ueli Meier
  • Publication number: 20200174658
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Application
    Filed: February 5, 2020
    Publication date: June 4, 2020
    Inventors: Mei-Qun XIA, Jannes G. DOLFING, Ryan S. DIXON, Karl M. GROETHE, Karan MISRA, Jerome R. BELLEGARDA, Ueli MEIER
  • Patent number: 10579257
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Grant
    Filed: February 15, 2018
    Date of Patent: March 3, 2020
    Assignee: Apple Inc.
    Inventors: Mei-Qun Xia, Jannes G. Dolfing, Ryan S. Dixon, Karl M. Groethe, Karan Misra, Jerome R. Bellegarda, Ueli Meier
  • Publication number: 20190332259
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Application
    Filed: July 8, 2019
    Publication date: October 31, 2019
    Inventors: Mei-Qun XIA, Jannes G. DOLFING, Ryan S. DIXON, Karl M. GROETHE, Karan MISRA, Jerome R. BELLEGARDA, Ueli MEIER
  • Patent number: 10346035
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Grant
    Filed: September 23, 2016
    Date of Patent: July 9, 2019
    Assignee: Apple Inc.
    Inventors: Mei-Qun Xia, Jannes G. Dolfing, Ryan S. Dixon, Karl M. Groethe, Karan Misra, Jerome R. Bellegarda, Ueli Meier
  • Publication number: 20180173415
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Application
    Filed: February 15, 2018
    Publication date: June 21, 2018
    Inventors: Mei-Qun Xia, Jannes G. Dolfing, Ryan S. Dixon, Karl M. Groethe, Karan Misra, Jerome R. Bellegarda, Ueli Meier
  • Patent number: 9934430
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Grant
    Filed: September 29, 2016
    Date of Patent: April 3, 2018
    Assignee: APPLE INC.
    Inventors: Jannes G. A. Dolfing, Karl M. Groethe, Ryan S. Dixon, Jerome R. Bellegarda
  • Patent number: 9898187
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Grant
    Filed: May 29, 2014
    Date of Patent: February 20, 2018
    Assignee: APPLE INC.
    Inventors: Mei-Qun Xia, Jannes G. Dolfing, Ryan S. Dixon, Karl M. Groethe, Karan Misra, Jerome R. Bellegarda, Ueli Meier
  • Publication number: 20170017835
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Application
    Filed: September 29, 2016
    Publication date: January 19, 2017
    Inventors: Jannes G. A. DOLFING, Karl M. GROETHE, Ryan S. DIXON, Jerome R. BELLEGARDA
  • Publication number: 20170010802
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Application
    Filed: September 23, 2016
    Publication date: January 12, 2017
    Inventors: Mei-Qun XIA, Jannes G. DOLFING, Ryan S. DIXON, Karl M. GROETHE, Karan MISRA, Jerome R. BELLEGARDA, Ueli MEIER
  • Patent number: 9495620
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Grant
    Filed: May 30, 2014
    Date of Patent: November 15, 2016
    Assignee: APPLE INC.
    Inventors: Jannes G. A. Dolfing, Karl M. Groethe, Ryan S. Dixon, Jerome R. Bellegarda
  • Patent number: 9465985
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Grant
    Filed: May 29, 2014
    Date of Patent: October 11, 2016
    Assignee: Apple Inc.
    Inventors: Mei-Qun Xia, Jannes G. Dolfing, Ryan S. Dixon, Karl M. Groethe, Karan Misra, Jerome R. Bellegarda, Ueli Meier
  • Patent number: 9449239
    Abstract: Differing embodiments of this disclosure may employ one or all of the several techniques described herein to perform credit card recognition using electronic devices with integrated cameras. According to some embodiments, the credit card recognition process may comprise: obtaining a first representation of a first image, wherein the first representation comprises a first plurality of pixels; identifying a first credit card region within the first representation; extracting a first plurality of sub-regions from within the identified first credit card region, wherein a first sub-region comprises a credit card number, wherein a second sub-region comprises an expiration date, and wherein a third sub-region comprises a card holder name; generating a predicted character sequence for the first, second, and third sub-regions; and validating the predicted character sequences for at least the first, second, and third sub-regions using various credit card-related heuristics, e.g.
    Type: Grant
    Filed: May 30, 2014
    Date of Patent: September 20, 2016
    Assignee: Apple Inc.
    Inventors: Ryan S. Dixon, Ueli Meier, Karl M. Groethe, Jerome R. Bellegarda, Giulia M. Pagallo
  • Publication number: 20150347859
    Abstract: Differing embodiments of this disclosure may employ one or all of the several techniques described herein to perform credit card recognition using electronic devices with integrated cameras. According to some embodiments, the credit card recognition process may comprise: obtaining a first representation of a first image, wherein the first representation comprises a first plurality of pixels; identifying a first credit card region within the first representation; extracting a first plurality of sub-regions from within the identified first credit card region, wherein a first sub-region comprises a credit card number, wherein a second sub-region comprises an expiration date, and wherein a third sub-region comprises a card holder name; generating a predicted character sequence for the first, second, and third sub-regions; and validating the predicted character sequences for at least the first, second, and third sub-regions using various credit card-related heuristics, e.g.
    Type: Application
    Filed: May 30, 2014
    Publication date: December 3, 2015
    Applicant: Apple Inc.
    Inventors: Ryan S. Dixon, Ueli Meier, Karl M. Groethe, Jerome R. Bellegarda, Giulia M. Pagallo
  • Publication number: 20150347860
    Abstract: Differing embodiments of this disclosure may be employed to perform character sequence recognition with no explicit character segmentation.
    Type: Application
    Filed: May 30, 2014
    Publication date: December 3, 2015
    Applicant: APPLE INC.
    Inventors: Ueli Meier, Ryan S. Dixon, Karl M. Groethe, Jerome R. Bellegarda
  • Publication number: 20140365949
    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
    Type: Application
    Filed: May 29, 2014
    Publication date: December 11, 2014
    Applicant: APPLE INC.
    Inventors: Mei-Qun XIA, Jannes G. DOLFING, Ryan S. DIXON, Karl M. GROETHE, Karan MISRA, Jerome R. BELLEGARDA, Ueli MEIER