Patents by Inventor Justin Scheiner
Justin Scheiner 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).
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Patent number: 10296799Abstract: Extracting card information comprises a server at an optical character recognition (“OCR”) system that interprets data from a card. The OCR system performs an optical character recognition algorithm an image of a card and performs a data recognition algorithm on a machine-readable code on the image of the card. The OCR system compares a series of extracted alphanumeric characters obtained via the optical character recognition process to data extracted from the machine-readable code via the data recognition process and matches the alphanumeric series of characters to a particular series of characters extracted from the machine-readable code. The OCR system determines if the alphanumeric series and the matching series of characters extracted from the machine-readable code comprise any discrepancies and corrects the alphanumeric series of characters based on the particular series of characters extracted from the machine-readable code upon a determination that a discrepancy exists.Type: GrantFiled: January 22, 2018Date of Patent: May 21, 2019Assignee: GOOGLE LLCInventors: Xiaohang Wang, Justin Scheiner, Glenn Berntson
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Publication number: 20180144205Abstract: Extracting card information comprises a server at an optical character recognition (“OCR”) system that interprets data from a card. The OCR system performs an optical character recognition algorithm an image of a card and performs a data recognition algorithm on a machine-readable code on the image of the card. The OCR system compares a series of extracted alphanumeric characters obtained via the optical character recognition process to data extracted from the machine-readable code via the data recognition process and matches the alphanumeric series of characters to a particular series of characters extracted from the machine-readable code. The OCR system determines if the alphanumeric series and the matching series of characters extracted from the machine-readable code comprise any discrepancies and corrects the alphanumeric series of characters based on the particular series of characters extracted from the machine-readable code upon a determination that a discrepancy exists.Type: ApplicationFiled: January 22, 2018Publication date: May 24, 2018Inventors: Xiaohang Wang, Justin Scheiner, Glenn Berntson
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Patent number: 9886641Abstract: Extracting card information comprises a server at an optical character recognition (“OCR”) system that interprets data from a card. The OCR system performs an optical character recognition algorithm an image of a card and performs a data recognition algorithm on a machine-readable code on the image of the card. The OCR system compares a series of extracted alphanumeric characters obtained via the optical character recognition process to data extracted from the machine-readable code via the data recognition process and matches the alphanumeric series of characters to a particular series of characters extracted from the machine-readable code. The OCR system determines if the alphanumeric series and the matching series of characters extracted from the machine-readable code comprise any discrepancies and corrects the alphanumeric series of characters based on the particular series of characters extracted from the machine-readable code upon a determination that a discrepancy exists.Type: GrantFiled: September 15, 2016Date of Patent: February 6, 2018Assignee: GOOGLE LLCInventors: Xiaohang Wang, Justin Scheiner, Glenn Berntson
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Patent number: 9740929Abstract: The technology of the present disclosure includes computer-implemented methods, computer program products, and systems to filter images before transmitting to a system for optical character recognition (“OCR”). A user computing device obtains a first image of the card from the digital scan of a physical card and analyzes features of the first image, the analysis being sufficient to determine if the first image is likely to be usable by an OCR algorithm. If the user computing device determines that the first image is likely to be usable, then the first image is transmitted to an OCR system associated with the OCR algorithm. Upon a determination that the first image is unlikely to be usable, a second image of the card from the digital scan of the physical card is analyzed. The optical character recognition system performs an optical character recognition algorithm on the filtered card.Type: GrantFiled: March 13, 2017Date of Patent: August 22, 2017Assignee: GOOGLE INC.Inventors: Xiaohang Wang, Alessandro Bissacco, Glenn Merlind Berntson, Marria Nazif, Justin Scheiner, Sam Shih, Mark Leslie Snyder, Daniel Talavera
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Publication number: 20170185833Abstract: The technology of the present disclosure includes computer-implemented methods, computer program products, and systems to filter images before transmitting to a system for optical character recognition (“OCR”). A user computing device obtains a first image of the card from the digital scan of a physical card and analyzes features of the first image, the analysis being sufficient to determine if the first image is likely to be usable by an OCR algorithm. If the user computing device determines that the first image is likely to be usable, then the first image is transmitted to an OCR system associated with the OCR algorithm. Upon a determination that the first image is unlikely to be usable, a second image of the card from the digital scan of the physical card is analyzed. The optical character recognition system performs an optical character recognition algorithm on the filtered card.Type: ApplicationFiled: March 13, 2017Publication date: June 29, 2017Inventors: Xiaohang Wang, Alessandro Bissacco, Glenn Merlind Berntson, Marria Nazif, Justin Scheiner, Sam Shih, Mark Leslie Snyder, Daniel Talavera
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Patent number: 9626556Abstract: The technology of the present disclosure includes computer-implemented methods, computer program products, and systems to filter images before transmitting to a system for optical character recognition (“OCR”). A user computing device obtains a first image of the card from the digital scan of a physical card and analyzes features of the first image, the analysis being sufficient to determine if the first image is likely to be usable by an OCR algorithm. If the user computing device determines that the first image is likely to be usable, then the first image is transmitted to an OCR system associated with the OCR algorithm. Upon a determination that the first image is unlikely to be usable, a second image of the card from the digital scan of the physical card is analyzed. The optical character recognition system performs an optical character recognition algorithm on the filtered card.Type: GrantFiled: October 27, 2014Date of Patent: April 18, 2017Assignee: GOOGLE INC.Inventors: Xiaohang Wang, Alessandro Bissacco, Glenn Merlind Berntson, Marria Nazif, Justin Scheiner, Sam Shih, Mark Leslie Snyder, Daniel Talavera
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Patent number: 9594972Abstract: Extracting financial card information with relaxed alignment comprises a method to receive an image of a card, determine one or more edge finder zones in locations of the image, and identify lines in the one or more edge finder zones. The method further identifies one or more quadrilaterals formed by intersections of extrapolations of the identified lines, determines an aspect ratio of the one or more quadrilateral, and compares the determined aspect ratios of the quadrilateral to an expected aspect ratio. The method then identifies a quadrilateral that matches the expected aspect ratio and performs an optical character recognition algorithm on the rectified model. A similar method is performed on multiple cards in an image. The results of the analysis of each of the cards are compared to improve accuracy of the data.Type: GrantFiled: May 18, 2016Date of Patent: March 14, 2017Assignee: GOOGLE INC.Inventors: Xiaohang Wang, Farhan Shamsi, Yakov Okshtein, Sanjiv Kumar, Henry Allan Rowley, Marcus Quintana Mitchell, Debra Lin Repenning, Alessandro Bissacco, Justin Scheiner, Leon Palm
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Publication number: 20170004370Abstract: Extracting card information comprises a server at an optical character recognition (“OCR”) system that interprets data from a card. The OCR system performs an optical character recognition algorithm an image of a card and performs a data recognition algorithm on a machine-readable code on the image of the card. The OCR system compares a series of extracted alphanumeric characters obtained via the optical character recognition process to data extracted from the machine-readable code via the data recognition process and matches the alphanumeric series of characters to a particular series of characters extracted from the machine-readable code. The OCR system determines if the alphanumeric series and the matching series of characters extracted from the machine-readable code comprise any discrepancies and corrects the alphanumeric series of characters based on the particular series of characters extracted from the machine-readable code upon a determination that a discrepancy exists.Type: ApplicationFiled: September 15, 2016Publication date: January 5, 2017Inventors: Xiaohang Wang, Justin Scheiner, Glenn Berntson
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Patent number: 9460358Abstract: Extracting card information comprises a server at an optical character recognition (“OCR”) system that interprets data from a card. The OCR system performs an optical character recognition algorithm an image of a card and performs a data recognition algorithm on a machine-readable code on the image of the card. The OCR system compares a series of extracted alphanumeric characters obtained via the optical character recognition process to data extracted from the machine-readable code via the data recognition process and matches the alphanumeric series of characters to a particular series of characters extracted from the machine-readable code. The OCR system determines if the alphanumeric series and the matching series of characters extracted from the machine-readable code comprise any discrepancies and corrects the alphanumeric series of characters based on the particular series of characters extracted from the machine-readable code upon a determination that a discrepancy exists.Type: GrantFiled: November 21, 2014Date of Patent: October 4, 2016Assignee: GOOGLE INC.Inventors: Xiaohang Wang, Justin Scheiner, Glenn Berntson
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Publication number: 20160267345Abstract: Extracting financial card information with relaxed alignment comprises a method to receive an image of a card, determine one or more edge finder zones in locations of the image, and identify lines in the one or more edge finder zones. The method further identifies one or more quadrilaterals formed by intersections of extrapolations of the identified lines, determines an aspect ratio of the one or more quadrilateral, and compares the determined aspect ratios of the quadrilateral to an expected aspect ratio. The method then identifies a quadrilateral that matches the expected aspect ratio and performs an optical character recognition algorithm on the rectified model. A similar method is performed on multiple cards in an image. The results of the analysis of each of the cards are compared to improve accuracy of the data.Type: ApplicationFiled: May 18, 2016Publication date: September 15, 2016Inventors: Xiaohang Wang, Farhan Shamsi, Yakov Okshtein, Sanjiv Kumar, Henry Allan Rowley, Marcus Quintana Mitchell, Debra Lin Repenning, Alessandro Bissacco, Justin Scheiner, Leon Palm
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Patent number: 9367754Abstract: Extracting financial card information with relaxed alignment comprises a method to receive an image of a card, determine one or more edge finder zones in locations of the image, and identify lines in the one or more edge finder zones. The method further identifies one or more quadrilaterals formed by intersections of extrapolations of the identified lines, determines an aspect ratio of the one or more quadrilateral, and compares the determined aspect ratios of the quadrilateral to an expected aspect ratio. The method then identifies a quadrilateral that matches the expected aspect ratio and performs an optical character recognition algorithm on the rectified model. A similar method is performed on multiple cards in an image. The results of the analysis of each of the cards are compared to improve accuracy of the data.Type: GrantFiled: August 19, 2014Date of Patent: June 14, 2016Assignee: GOOGLE INC.Inventors: Xiaohang Wang, Farhan Shamsi, Yakov Okshtein, Sanjiv Kumar, Henry Allan Rowley, Marcus Quintana Mitchell, Debra Lin Repenning, Alessandro Bissacco, Justin Scheiner, Leon Palm
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Publication number: 20160019439Abstract: Extracting card information comprises a server at an optical character recognition (“OCR”) system that interprets data from a card. The OCR system performs an optical character recognition algorithm an image of a card and performs a data recognition algorithm on a machine-readable code on the image of the card. The OCR system compares a series of extracted alphanumeric characters obtained via the optical character recognition process to data extracted from the machine-readable code via the data recognition process and matches the alphanumeric series of characters to a particular series of characters extracted from the machine-readable code. The OCR system determines if the alphanumeric series and the matching series of characters extracted from the machine-readable code comprise any discrepancies and corrects the alphanumeric series of characters based on the particular series of characters extracted from the machine-readable code upon a determination that a discrepancy exists.Type: ApplicationFiled: November 21, 2014Publication date: January 21, 2016Inventors: Xiaohang Wang, Justin Scheiner, Glenn Berntson
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Publication number: 20160019431Abstract: Extracting card information comprises a server at an optical character recognition (“OCR”) system that interprets data from a card. The OCR system performs an optical character recognition algorithm an image of a card and a data recognition algorithm on a machine-readable code on the image of the card. The OCR system compares a series of extracted alphanumeric characters obtained via the optical character recognition process to data extracted from the machine-readable code via the data recognition process and matches the alphanumeric series of characters to a particular series of characters extracted from the machine-readable code. The OCR system determines if the alphanumeric series and the matching series of characters extracted from the machine-readable code comprise any discrepancies and corrects the alphanumeric series of characters. The OCR system may also determine a card type and use a card format associated with the card type to improve the data extraction.Type: ApplicationFiled: November 21, 2014Publication date: January 21, 2016Inventors: Xiaohang Wang, Justin Scheiner, Glenn Berntson
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Publication number: 20150139506Abstract: The technology of the present disclosure includes computer-implemented methods, computer program products, and systems to filter images before transmitting to a system for optical character recognition (“OCR”). A user computing device obtains a first image of the card from the digital scan of a physical card and analyzes features of the first image, the analysis being sufficient to determine if the first image is likely to be usable by an OCR algorithm. If the user computing device determines that the first image is likely to be usable, then the first image is transmitted to an OCR system associated with the OCR algorithm. Upon a determination that the first image is unlikely to be usable, a second image of the card from the digital scan of the physical card is analyzed. The optical character recognition system performs an optical character recognition algorithm on the filtered card.Type: ApplicationFiled: October 27, 2014Publication date: May 21, 2015Inventors: Xiaohang Wang, Alessandro Bissacco, Glen Berntson, Marria Nazif, Justin Scheiner, Sam Shih, Mark Leslie Snyder, Daniel Talavera
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Publication number: 20150003733Abstract: Extracting financial card information with relaxed alignment comprises a method to receive an image of a card, determine one or more edge finder zones in locations of the image, and identify lines in the one or more edge finder zones. The method further identifies one or more quadrilaterals formed by intersections of extrapolations of the identified lines, determines an aspect ratio of the one or more quadrilateral, and compares the determined aspect ratios of the quadrilateral to an expected aspect ratio. The method then identifies a quadrilateral that matches the expected aspect ratio and performs an optical character recognition algorithm on the rectified model. A similar method is performed on multiple cards in an image. The results of the analysis of each of the cards are compared to improve accuracy of the data.Type: ApplicationFiled: August 19, 2014Publication date: January 1, 2015Inventors: Xiaohang Wang, Farhan Shamsi, Yakov Okshtein, Sanjiv Kumar, Henry Allan Rowley, Marcus Quintana Mitchell, Debra Lin Repenning, Alessandro Bissacco, Justin Scheiner, Leon Palm
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Patent number: 8903136Abstract: The technology of the present disclosure includes computer-implemented methods, computer program products, and systems to filter images before transmitting to a system for optical character recognition (“OCR”). A user computing device obtains a first image of the card from the digital scan of a physical card and analyzes features of the first image, the analysis being sufficient to determine if the first image is likely to be usable by an OCR algorithm. If the user computing device determines that the first image is likely to be usable, then the first image is transmitted to an OCR system associated with the OCR algorithm. Upon a determination that the first image is unlikely to be usable, a second image of the card from the digital scan of the physical card is analyzed. The optical character recognition system performs an optical character recognition algorithm on the filtered card.Type: GrantFiled: December 18, 2013Date of Patent: December 2, 2014Assignee: Google Inc.Inventors: Xiaohang Wang, Alessandro Bissacco, Glen Berntson, Marria Nazif, Justin Scheiner, Sam Shih, Mark Leslie Snyder, Daniel Talavera
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Patent number: 8837833Abstract: Extracting financial card information with relaxed alignment comprises a method to receive an image of a card, determine one or more edge finder zones in locations of the image, and identify lines in the one or more edge finder zones. The method further identifies one or more quadrilaterals formed by intersections of extrapolations of the identified lines, determines an aspect ratio of the one or more quadrilateral, and compares the determined aspect ratios of the quadrilateral to an expected aspect ratio. The method then identifies a quadrilateral that matches the expected aspect ratio and performs an optical character recognition algorithm on the rectified model. A similar method is performed on multiple cards in an image. The results of the analysis of each of the cards are compared to improve accuracy of the data.Type: GrantFiled: December 12, 2013Date of Patent: September 16, 2014Assignee: Google Inc.Inventors: Xiaohang Wang, Farhan Shamsi, Yakov Okshtein, Sanjiv Kumar, Henry Allan Rowley, Marcus Quintana Mitchell, Debra Lin Repenning, Alessandro Bissacco, Justin Scheiner, Leon Palm