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公开(公告)号:US10262201B2
公开(公告)日:2019-04-16
申请号:US15863299
申请日:2018-01-05
Applicant: GOOGLE LLC
Inventor: Xiaohang Wang , Jeff Huber , Farhan Shamsi , Yakov Okshtein , Sanjiv Kumar , Henry Allan Rowley , Marcus Quintana Mitchell , Debra Lin Repenning
Abstract: 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.
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公开(公告)号:US20180330180A1
公开(公告)日:2018-11-15
申请号:US16042332
申请日:2018-07-23
Applicant: GOOGLE LLC
Inventor: Xiaohang Wang , Farhan Shamsi , Sanjiv Kumar , Henry Allan Rowley , Marcus Quintana Mitchell
IPC: G06K9/18 , G06K9/00 , G06Q20/36 , G06Q20/34 , G06Q20/32 , G06K7/10 , G06K9/62 , G06K9/22 , G06K9/20 , H04N1/00
CPC classification number: G06K9/186 , G06K7/10 , G06K9/00469 , G06K9/18 , G06K9/2054 , G06K9/228 , G06K9/6202 , G06K2209/01 , G06Q20/32 , G06Q20/3223 , G06Q20/3276 , G06Q20/34 , G06Q20/36 , H04N1/00307
Abstract: Extracting card data comprises receiving, by one or more computing devices, a digital image of a card; perform an image recognition process on the digital representation of the card; identifying an image in the digital representation of the card; comparing the identified image to an image database comprising a plurality of images and determining that the identified image matches a stored image in the image database; determining a card type associated with the stored image and associating the card type with the card based on the determination that the identified image matches the stored image; and performing a particular optical character recognition algorithm on the digital representation of the card, the particular optical character recognition algorithm being based on the determined card type. Another example uses an issuer identification number to improve data extraction. Another example compares extracted data with user data to improve accuracy.
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公开(公告)号:US11861648B2
公开(公告)日:2024-01-02
申请号:US16995578
申请日:2020-08-17
Applicant: Google LLC
Inventor: Mark William Andrews , Richard Tsuwen Hung , Robin Dua , Marcus Quintana Mitchell
IPC: G06Q30/00 , G06Q30/0226 , G06Q30/0238 , G06Q20/32 , G06Q20/36
CPC classification number: G06Q30/0226 , G06Q20/325 , G06Q20/36 , G06Q30/0229 , G06Q30/0238
Abstract: Using identifiers on user payment instruments to identify user loyalty accounts comprises a method to store a loyalty account list associated with a user, the loyalty account list comprising one or more user loyalty accounts; associate an identifier with the loyalty account list; receive information identifying a user loyalty account associated with a merchant, the information comprising an account number for the user loyalty account and an identity of the merchant; associate the user loyalty account with the loyalty account list; receive a request for information identifying a user loyalty account associated with a merchant, the request comprising the identifier received by the merchant from a user payment instrument and an identity of the merchant; determine the user loyalty account associated with the merchant; and provide the information identifying a user loyalty account associated with a merchant.
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公开(公告)号:US20210035147A1
公开(公告)日:2021-02-04
申请号:US16995578
申请日:2020-08-17
Applicant: Google LLC
Inventor: Mark William Andrews , Richard Tsuwen Hung , Robin Dua , Marcus Quintana Mitchell
Abstract: Using identifiers on user payment instruments to identify user loyalty accounts comprises a method to store a loyalty account list associated with a user, the loyalty account list comprising one or more user loyalty accounts; associate an identifier with the loyalty account list; receive information identifying a user loyalty account associated with a merchant, the information comprising an account number for the user loyalty account and an identity of the merchant; associate the user loyalty account with the loyalty account list; receive a request for information identifying a user loyalty account associated with a merchant, the request comprising the identifier received by the merchant from a user payment instrument and an identity of the merchant; determine the user loyalty account associated with the merchant; and provide the information identifying a user loyalty account associated with a merchant.
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公开(公告)号:USD879812S1
公开(公告)日:2020-03-31
申请号:US29641032
申请日:2018-03-19
Applicant: GOOGLE LLC
Designer: Xiaohang Wang , Marcus Quintana Mitchell
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公开(公告)号:US10515290B2
公开(公告)日:2019-12-24
申请号:US15678990
申请日:2017-08-16
Applicant: GOOGLE LLC
Inventor: Xiaohang Wang , Marcus Quintana Mitchell
IPC: G06K9/00 , G06K9/62 , G06K9/03 , G06K9/20 , G06K9/22 , G06Q20/34 , G06Q20/40 , G06Q20/32 , G06K9/78 , G06K9/18 , G06K9/34 , G06T17/00
Abstract: Comparing extracted card data from a continuous scan comprises receiving, by one or more computing devices, a digital scan of a card; obtaining a plurality of images of the card from the digital scan of the physical card; performing an optical character recognition algorithm on each of the plurality of images; comparing results of the application of the optical character recognition algorithm for each of the plurality of images; determining if a configured threshold of the results for each of the plurality of images match each other; and verifying the results when the results for each of the plurality of images match each other. Threshold confidence level for the extracted card data can be employed to determine the accuracy of the extraction. Data is further extracted from blended images and three-dimensional models of the card. Embossed text and holograms in the images may be used to prevent fraud.
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公开(公告)号:US10586100B2
公开(公告)日:2020-03-10
申请号:US16298160
申请日:2019-03-11
Applicant: GOOGLE LLC
Inventor: Xiaohang Wang , Jeff Huber , Farhan Shamsi , Yakov Okshtein , Sanjiv Kumar , Henry Allan Rowley , Marcus Quintana Mitchell , Debra Lin Repenning
Abstract: 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.
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公开(公告)号:US20190205639A1
公开(公告)日:2019-07-04
申请号:US16298160
申请日:2019-03-11
Applicant: GOOGLE LLC
Inventor: Xiaohang Wang , Jeff Huber , Farhan Shamsi , Yakov Okshtein , Sanjiv Kumar , Henry Allan Rowley , Marcus Quintana Mitchell , Debra Lin Repenning
CPC classification number: G06K9/00469 , G06K9/00463 , G06K9/2063 , G06K9/3283 , G06K9/6201 , G06K2209/01
Abstract: 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.
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公开(公告)号:US10055663B2
公开(公告)日:2018-08-21
申请号:US15229071
申请日:2016-08-04
Applicant: GOOGLE LLC
Inventor: Xiaohang Wang , Farhan Shamsi , Sanjiv Kumar , Henry Allan Rowley , Marcus Quintana Mitchell
IPC: G06K9/00 , G06Q20/34 , G06K9/18 , G06K7/10 , G06Q20/32 , G06K9/22 , G06K9/62 , G06K9/20 , G06Q20/36 , H04N1/00
CPC classification number: G06K9/186 , G06K7/10 , G06K9/00469 , G06K9/03 , G06K9/18 , G06K9/2054 , G06K9/228 , G06K9/6202 , G06K2209/01 , G06Q20/32 , G06Q20/3223 , G06Q20/3276 , G06Q20/34 , G06Q20/36 , H04N1/00307
Abstract: Extracting card data comprises receiving, by one or more computing devices, a digital image of a card; perform an image recognition process on the digital representation of the card; identifying an image in the digital representation of the card; comparing the identified image to an image database comprising a plurality of images and determining that the identified image matches a stored image in the image database; determining a card type associated with the stored image and associating the card type with the card based on the determination that the identified image matches the stored image; and performing a particular optical character recognition algorithm on the digital representation of the card, the particular optical character recognition algorithm being based on the determined card type. Another example uses an issuer identification number to improve data extraction. Another example compares extracted data with user data to improve accuracy.
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公开(公告)号:US20180129878A1
公开(公告)日:2018-05-10
申请号:US15863299
申请日:2018-01-05
Applicant: GOOGLE LLC
Inventor: Xiaohang Wang , Jeff Huber , Farhan Shamsi , Yakov Okshtein , Sanjiv Kumar , Henry Allan Rowley , Marcus Quintana Mitchell , Debra Lin Repenning
CPC classification number: G06K9/00469 , G06K9/00463 , G06K9/2063 , G06K9/3283 , G06K9/6201 , G06K2209/01
Abstract: 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.
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