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    EXTRACTING CARD DATA FOR SIMULTANEOUS DISPLAY WITH AN IMAGE
    34.
    发明申请
    EXTRACTING CARD DATA FOR SIMULTANEOUS DISPLAY WITH AN IMAGE 审中-公开
    提取卡数据同时显示与图像

    公开(公告)号：US20170061225A1

    公开(公告)日：2017-03-02

    申请号：US15342116

    申请日：2016-11-02

    Applicant: GOOGLE INC.

    Inventor： Marcus Quintana Mitchell ,  Xiaohang Wang

    IPC: G06K9/18 ,  G06K9/00 ,  G06Q20/32 ,  G06Q20/34 ,  G06Q20/36 ,  G06K9/62 ,  G06K9/20

    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 superimposes the extracted data directly above, below, or beside the corresponding section on the displayed image.

    Abstract translation: 提取卡数据包括由一个或多个计算设备接收卡的数字图像; 对卡的数字表示进行图像识别处理; 识别卡的数字表示中的图像; 将所识别的图像与包括多个图像的图像数据库进行比较，并确定所识别的图像与图像数据库中存储的图像匹配; 基于所识别的图像与所存储的图像匹配的确定来确定与所存储的图像相关联的卡类型并将卡类型与卡相关联; 以及对所述卡的数字表示执行特定光学字符识别算法，所述特定光学字符识别算法基于所确定的卡类型。 另一示例将提取的数据直接叠加在显示图像上的相应部分的正上方，下方或旁边。

    EXTRACTING CARD DATA FROM MULTIPLE CARDS
    35.
    发明申请
    EXTRACTING CARD DATA FROM MULTIPLE CARDS 有权
    从多张卡提取卡片数据

    公开(公告)号：US20170039420A1

    公开(公告)日：2017-02-09

    申请号：US15297127

    申请日：2016-10-18

    Applicant: GOOGLE INC.

    Inventor： Xiaohang Wang ,  Jeff Huber ,  Farhan Shamsi ,  Yakov Okshtein ,  Sanjiv Kumar ,  Henry Allan Rowley ,  Marcus Quintana Mitchell ,  Debra Lin Repenning

    IPC: G06K9/00 ,  G06K9/20 ,  G06K9/62 ,  G06K9/32

    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.

    Abstract translation: 以轻松对准的方式提取金融卡信息包括接收卡的图像的方法，在图像的位置确定一个或多个边缘查找器区域，并识别一个或多个边缘查找器区域中的线。 该方法还识别由所识别的线的外插的交点形成的一个或多个四边形，确定一个或多个四边形的纵横比，并将确定的四边形的纵横比与预期的纵横比进行比较。 然后，该方法识别与预期宽高比匹配的四边形，并在整流模型上执行光学字符识别算法。 在图像中的多个卡上执行类似的方法。 比较每个卡的分析结果，提高数据的准确性。

    Point Of Sale Terminal Geolocations
    36.
    发明申请
    Point Of Sale Terminal Geolocations 有权
    销售点终端地理位置

    公开(公告)号：US20160358144A1

    公开(公告)日：2016-12-08

    申请号：US14733917

    申请日：2015-06-08

    Applicant: GOOGLE INC.

    Inventor： Glenn Thrope ,  Xiaohang Wang ,  Glenn Berntson ,  Harry Lee Butler, IV

    IPC: G06Q20/20 ,  H04W4/02 ,  G06N3/02 ,  G01C21/00

    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.

    Abstract translation: 使用非支付事件识别POS终端的地理位置，以预测在设备检测到事件时计算设备的地理位置何时对应于终端的地理定位。 设备监控预先选择的事件并将数据传输到帐户系统。 帐户系统确定事件的频率并达到预定义的阈值，帐户系统通过识别事件的公共地理位置来识别终端的位置。 所识别的地理定位被保存，使得当用户然后输入位置并将事件数据发送到帐户系统时，系统可以将事件数据的地理位置与保存的地理位置进行比较，以确定计算设备是否位于终端。 如果计算设备位于终端，则帐户系统在所识别的终端上发送提供或其他内容以进行显示和使用。

    ADAPTIVE LOCATION UPDATING
    37.
    发明申请
    ADAPTIVE LOCATION UPDATING 审中-公开
    自适应位置更新

    公开(公告)号：US20160192152A1

    公开(公告)日：2016-06-30

    申请号：US15060205

    申请日：2016-03-03

    Applicant: GOOGLE INC.

    Inventor： Michael James Taylor ,  Xiaohang Wang ,  Yakov Okshtein ,  Farhan Shamsi ,  Mohammad Hossain Sheikh Attar

    IPC: H04W4/02 ,  G01C21/36 ,  G01C21/34

    CPC classification number: H04W4/027 ,  G01C21/3492 ,  G01C21/3626 ,  G01S1/68 ,  G01S19/39 ,  G01S19/42 ,  H04W4/023 ,  H04W64/006 ,  H04W84/12

    Abstract: A location of a network user computing device is determined relative to a location of a point of interest. If the user device is determined to be stationary, the user device is monitored for movement, the movement resulting in re-determining the location of the user device relative to a location of the point of interest. If the user device is determined to be moving, the velocity of the user device is matched with a predetermined velocity, and a preliminary estimated time of arrival to the point of interest is determined based on the predetermined velocity matched to the user device. At a later time that is based on a function of the preliminary estimated time of arrival, an estimated time of arrival to the point of interest is verified based on the predetermined velocity matched to the user device.

    Abstract translation: 网络用户计算设备的位置是相对于兴趣点的位置来确定的。 如果用户设备被确定为静止的，则监视用户设备的移动，该移动导致重新确定用户设备相对于该兴趣点的位置的位置。 如果确定用户设备正在移动，则用户设备的速度与预定速度相匹配，并且基于与用户设备匹配的预定速度来确定到达目标点的初步估计时间。 在基于初步预计到达时间的功能的较后时间，基于与用户设备匹配的预定速度来验证到达感兴趣点的估计时间。

    Classifying open-loop and closed-loop payment cards based on optical character recognition
    38.
    发明授权
    Classifying open-loop and closed-loop payment cards based on optical character recognition 有权
    基于光学字符识别分类开环和闭环支付卡

    公开(公告)号：US09342830B2

    公开(公告)日：2016-05-17

    申请号：US14551883

    申请日：2014-11-24

    Applicant: GOOGLE INC.

    Inventor： Xiaohang Wang ,  Glenn Berntson

    IPC: G06Q20/34

    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 an open-loop card or a closed-loop card, or as a credit card or a non-credit card. In an example embodiment, the system allows or prohibits extracted financial account information from the payment card to be saved in the digital wallet account based on the determined payment card category. In another example embodiment, the system transmits an advisement to the user based on the determined payment card category.

    Abstract translation: 用户通过用户计算设备相机捕获支付卡的图像。 光学字符识别系统从用户计算设备接收支付卡图像。 该系统在支付卡图像上执行光学字符识别和视觉对象识别算法，从支付卡图像中提取文本和视觉对象，系统用于识别支付卡类型。 系统可将支付卡分为开环卡或闭环卡，或信用卡或非信用卡。 在示例实施例中，系统允许或禁止从支付卡提取的金融账户信息基于所确定的支付卡类别被保存在数字钱包账户中。 在另一示例性实施例中，系统基于确定的支付卡类别向用户发送建议。

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