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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：US20190108415A1
公开(公告)日：2019-04-11
申请号：US16210973
申请日：2018-12-05
Applicant: GOOGLE LLC
Inventor： Sanjiv Kumar , Henry Allan Rowley , Xiaohang Wang , Yakov Okshtein , Farhan Shamsi , Alessandro Bissacco
IPC: G06K9/62 , G06K9/78 , G06K9/34 , G06K9/00 , G06Q20/32 , G06K9/22 , G06K9/20 , G06K9/03 , G06K9/18 , G06Q20/40 , G06Q20/34 , 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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14.发明申请公开(公告)号：US20180150908A1
公开(公告)日：2018-05-31
申请号：US15877358
申请日：2018-01-22
Applicant: Google LLC
Inventor： Xiaohang Wang , Glenn Berntson
CPC classification number: G06Q40/00 , G06K9/00442 , G06K9/18 , G06K9/3258 , G06K2209/01 , G06Q20/34 , G06Q20/351 , G06Q20/36 , H04N5/2257
Abstract: A user captures an image of a payment card via a user computing device camera. An optical character recognition system receives the payment card image from the user computing device. The system performs optical character recognition and visual object recognition algorithms on the payment card image to extract text and visual objects from the payment card image, which are used by the system to identify a payment card type. The system may categorize the payment card as a credit card or a non-credit card. In an example embodiment, the system determines that the payment card type is a credit card and transmits fee structure to the user. The user selects a second payment card for use in the transaction and the transaction is processed using financial account information associated with the second payment card.
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Patent Agency Ranking
公开(公告)号：US20180225645A1
公开(公告)日：2018-08-09
申请号：US15947276
申请日：2018-04-06
Applicant: GOOGLE LLC
Inventor： Glenn Thrope , Xiaohang Wang , Glenn Berntson , Harry Lee Butler, IV
CPC classification number: G06Q20/204 , G01C21/00 , G01C21/32 , G06N3/02 , G06Q30/0261 , H04W4/027 , H04W4/029 , H04W4/38 , H04W4/80
Abstract: Identifying the geolocation of POS terminals using non-payment events to predict when the geolocation of a computing device at a time when the device detects events corresponds to the geolocation of the terminal. The device monitors for pre-selected events and transmit data to the account system. The account system determines a frequency of the events and it reaches a pre-defined threshold, the account system identifies the location of the terminal by identifying the common geolocation of the events. The identified geolocation is saved so that when a user then enters the location and transmits event data to the account system, the system can compare the geolocation of the event data to the saved geolocation to determine whether the computing device is located at the terminal. If the computing device is located at the terminal, the account system transmits offers or other content for display and use at the identified terminal.
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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：US20180144205A1
公开(公告)日：2018-05-24
申请号：US15877366
申请日：2018-01-22
Applicant: GOOGLE LLC
Inventor： Xiaohang Wang , Justin Scheiner , Glenn Berntson
CPC classification number: G06K9/18 , G06K7/1447 , G06K9/00442 , G06K9/036 , G06K9/2054 , G06K9/344 , G06K9/62 , G06K9/6255 , G06K9/726 , G06K2209/01
Abstract: 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.
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公开(公告)号：US20180139584A1
公开(公告)日：2018-05-17
申请号：US15867883
申请日：2018-01-11
Applicant: GOOGLE LLC
Inventor： Xiaohang Wang , Farhan Shamsi , Yakov Okshtein , David Singleton , Douglas Alexander Gresham , Alan Newberger , Lixin Zhang
CPC classification number: H04W4/027 , G01C21/3679 , H04L67/26 , H04W4/021 , H04W4/022 , H04W4/029 , H04W4/21
Abstract: Receiving point of interest zones and alerts on user devices comprises communicating, by a user computing device to a remote computing device, a request for point of interest data corresponding to points of interest within a proximity of the user device; presenting the received point of interest data; identifying a particular point of interest; and outputting an alert regarding the particular point of interest. Receiving point of interest zones on user devices comprises communicating a request for point of interest data; receiving the point of interest data from the remote network device wherein a size of the point of interest zone is determined based on a density of points of interest in the proximity of the user, and wherein the shape of the point of interest zone is expanded in a direction of travel and contracted in the opposite direction; and presenting the received point of interest data.
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