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Patent Agency Ranking
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：US10296799B2
公开(公告)日：2019-05-21
申请号：US15877366
申请日：2018-01-22
Applicant: GOOGLE LLC
Inventor： Xiaohang Wang , Justin Scheiner , Glenn Berntson
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：US10713635B2
公开(公告)日：2020-07-14
申请号：US15947276
申请日：2018-04-06
Applicant: GOOGLE LLC
Inventor： Glenn Thrope , Xiaohang Wang , Glenn Berntson , Harry Lee Butler, IV
IPC: G06Q20/20 , G06N3/02 , G06Q30/02 , H04W4/38 , H04W4/029 , H04W4/80 , G01C21/00 , G01C21/32 , H04W4/02
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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4.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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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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