公开(公告)号：WO2014210577A2

公开(公告)日：2014-12-31

申请号：PCT/US2014/044758

申请日：2014-06-27

Applicant: GOOGLE INC.

Inventor： KUMAR, Sanjiv ,  ROWLEY, Henry, Allan ,  WANG, Xiaohang ,  OKSHTEIN, Yakov ,  SHAMSI, Farhan ,  MITCHELL, Marcus, Quintana ,  BISSACCO, Alessandro

IPC: G06K9/20

CPC classification number: G06K9/6201 ,  G06K9/00201 ,  G06K9/00469 ,  G06K9/00483 ,  G06K9/03 ,  G06K9/036 ,  G06K9/18 ,  G06K9/20 ,  G06K9/2054 ,  G06K9/228 ,  G06K9/344 ,  G06K9/6202 ,  G06K9/78 ,  G06K2009/2045 ,  G06K2209/01 ,  G06K2209/40 ,  G06Q20/322 ,  G06Q20/327 ,  G06Q20/34 ,  G06Q20/4016 ,  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.

Abstract translation: 比较来自连续扫描的提取的卡数据包括由一个或多个计算设备接收卡的数字扫描; 从所述物理卡的数字扫描中获取所述卡的多个图像; 对所述多个图像中的每一个执行光学字符识别算法; 比较针对所述多个图像中的每一个的所述光学字符识别算法的应用结果; 确定所述多个图像中的每一个的结果的配置阈值是否彼此匹配; 以及当多个图像中的每一个的结果彼此匹配时验证结果。 可以采用提取的卡数据的阈值置信水平来确定提取的准确性。 从混合图像和卡片的三维模型进一步提取数据。 图像中的压纹文字和全息图可能被用来防止欺诈。

公开(公告)号：WO2014093993A1

公开(公告)日：2014-06-19

申请号：PCT/US2013/075512

申请日：2013-12-16

Applicant: GOOGLE INC.

Inventor： ANDREWS, Mark, William ,  HUNG, Richard, Tsuwen ,  DUA, Robin ,  MITCHELL, Marcus, Quintana

IPC: G06Q30/02

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.

Abstract translation: 使用用户支付工具上的标识符来识别用户忠诚度帐户包括存储与用户相关联的忠诚度帐户列表的方法，所述忠诚度帐户列表包括一个或多个用户忠诚度账户; 将标识符与忠诚帐户列表相关联; 接收识别与商户相关联的用户忠诚度帐户的信息，所述信息包括用户忠诚帐户的帐号和商家的身份; 将用户忠诚帐户与忠诚帐户列表相关联; 接收关于识别与商家相关联的用户忠诚度帐户的信息的请求，所述请求包括商户从用户支付工具接收的标识符和商家的身份; 确定与商家相关联的用户忠诚度帐户; 并提供识别与商家相关联的用户忠诚度帐户的信息。

公开(公告)号：WO2015009974A3

公开(公告)日：2015-01-22

申请号：PCT/US2014/047102

申请日：2014-07-17

Applicant: GOOGLE INC.

Inventor： MITCHELL, Marcus, Quintana ,  HAZLEHURST, Peter ,  WANG, Xiaohang ,  REPENNING, Debra, Lin ,  OKSHTEIN, Yakov ,  KUMAR, Sanjiv ,  SHAMSI, Farhan ,  ROWLEY, Henry, Allan

IPC: G06K9/00

Abstract: Providing improved card art for display comprises receiving, by one or more computing devices, an image of a card and performing an image recognition algorithm on the image. The computing device identifies images represented on the card image and comparing the identified images to an image database. The computing device determines a standard card art image associated with the identified image based at least in part on the comparison and associates the standard card art image with an account of a user, the account being associated with the card in the image. The computing device displays the standard card art as a representation of the account.

公开(公告)号：WO2015002906A1

公开(公告)日：2015-01-08

申请号：PCT/US2014/044968

申请日：2014-06-30

Applicant: GOOGLE INC.

Inventor： WANG, Xiaohang ,  SHAMSI, Farhan ,  OKSHTEIN, Yakov ,  KUMAR, Sanjiv ,  ROWLEY, Henry, Allan ,  MITCHELL, Marcus, Quintana ,  REPENNING, Debra, Lin ,  BISSACCO, Alessandro ,  SCHEINER, Justin ,  PALM, Leon ,  HUBER, Jeff

IPC: G06K9/32 ,  G06Q20/34 ,  G06Q20/32

CPC classification number: G06K9/3233 ,  G06K2009/363 ,  G06Q20/3276 ,  G06Q20/3567

Abstract: Extracting financial card information with relaxed alignment comprises a method to receive an image of a card (205), determine one or more edge finder zones in locations of the image, and identify lines in the one or more edge finder zones (210). 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 (215). The method then identifies a quadrilateral that matches the expected aspect ratio (220) and performs an optical character recognition algorithm on the rectified model (230). 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: 以轻松对准提取金融卡信息包括接收卡片图像（205）的方法，确定图像位置中的一个或多个边缘查找器区域，以及识别该一个或多个边缘查找器区域（210）中的线条。 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，并将所确定的四边形的纵横比与预期纵横比进行比较（215）。 然后，该方法识别与预期宽高比匹配的四边形（220），并在整流模型（230）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。

公开(公告)号：WO2014210548A2

公开(公告)日：2014-12-31

申请号：PCT/US2014/044719

申请日：2014-06-27

Applicant: GOOGLE INC.

Inventor： WANG, Xiaohang ,  SHAMSI, Farhan ,  OKSHTEIN, Yakov ,  KUMAR, Sanjiv ,  ROWLEY, Henry, Allan ,  MITCHELL, Marcus, Quintana ,  REPENNING, Debra, Lin ,  RODRIGUES, Jose, Jeronimo, Moreira ,  LI, Zhifei

IPC: G06K9/22

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.

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; 将识别的图像与包括多个图像的图像数据库进行比较，并且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。 另一个例子是使用发行人识别号来改进数据提取。 另一个例子比较了提取的数据与用户数据，以提高准确性。