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    System and method of determining building numbers
    12.
    发明授权
    System and method of determining building numbers 有权

    公开(公告)号：US09436886B2

    公开(公告)日：2016-09-06

    申请号：US14660141

    申请日：2015-03-17

    Applicant: Google Inc.

    Inventor： Bo Wu ,  Alessandro Bissacco ,  Raymond W. Smith ,  Kong Man Cheung ,  Andrea Frome ,  Shlomo Urbach

    IPC: G06K9/00 ,  G06K9/32 ,  G06K9/18

    CPC classification number: G06K9/3258 ,  G06K9/00 ,  G06K9/18 ,  G06K2209/01 ,  G06Q50/10

    Abstract: A system and method is provided for automatically recognizing building numbers in street level images. In one aspect, a processor selects a street level image that is likely to be near an address of interest. The processor identifies those portions of the image that are visually similar to street numbers, and then extracts the numeric values of the characters displayed in such portions. If an extracted value corresponds with the building number of the address of interest such as being substantially equal to the address of interest, the extracted value and the image portion are displayed to a human operator. The human operator confirms, by looking at the image portion, whether the image portion appears to be a building number that matches the extracted value. If so, the processor stores a value that associates that building number with the street level image.

    SYSTEM AND METHOD OF DETERMINING BUILDING NUMBERS
    13.
    发明申请
    SYSTEM AND METHOD OF DETERMINING BUILDING NUMBERS 有权
    确定建筑物数量的系统和方法

    公开(公告)号：US20160188991A1

    公开(公告)日：2016-06-30

    申请号：US14660141

    申请日：2015-03-17

    Applicant: Google Inc.

    Inventor： Bo Wu ,  Alessandro Bissacco ,  Raymond W. Smith ,  Kong Man Cheung ,  Andrea Frome ,  Shlomo Urbach

    IPC: G06K9/32 ,  G06K9/18

    CPC classification number: G06K9/3258 ,  G06K9/00 ,  G06K9/18 ,  G06K2209/01 ,  G06Q50/10

    Abstract: A system and method is provided for automatically recognizing building numbers in street level images. In one aspect, a processor selects a street level image that is likely to be near an address of interest. The processor identifies those portions of the image that are visually similar to street numbers, and then extracts the numeric values of the characters displayed in such portions. If an extracted value corresponds with the building number of the address of interest such as being substantially equal to the address of interest, the extracted value and the image portion are displayed to a human operator. The human operator confirms, by looking at the image portion, whether the image portion appears to be a building number that matches the extracted value. If so, the processor stores a value that associates that building number with the street level image.

    Abstract translation: 提供了一种用于自动识别街道图像中的建筑物编号的系统和方法。 在一个方面，处理器选择可能靠近感兴趣的地址的街道级图像。 处理器识别图像中与街道号码视觉相似的那些部分，然后提取在这些部分中显示的字符的数值。 如果提取的值对应于感兴趣的地址的建筑物号码，例如基本上等于感兴趣的地址，则提取的值和图像部分被显示给人类操作者。 人类操作者通过观察图像部分来确认图像部分是否看起来是与提取的值相匹配的建筑物号码。 如果是这样，处理器存储将建筑物号码与街道图像相关联的值。

    System and method of determining building numbers
    14.
    发明授权
    System and method of determining building numbers 有权
    确定建筑物数量的系统和方法

    公开(公告)号：US09020265B2

    公开(公告)日：2015-04-28

    申请号：US14296781

    申请日：2014-06-05

    Applicant: Google Inc.

    Inventor： Bo Wu ,  Alessandro Bissacco ,  Raymond W. Smith ,  Kong Man Cheung ,  Andrea Frome ,  Shlomo Urbach

    IPC: G06K9/18 ,  G06K9/32

    CPC classification number: G06K9/3258 ,  G06K9/00 ,  G06K9/18 ,  G06K2209/01 ,  G06Q50/10

    Abstract: A system and method is provided for automatically recognizing building numbers in street level images. In one aspect, a processor selects a street level image that is likely to be near an address of interest. The processor identifies those portions of the image that are visually similar to street numbers, and then extracts the numeric values of the characters displayed in such portions. If an extracted value corresponds with the building number of the address of interest such as being substantially equal to the address of interest, the extracted value and the image portion are displayed to a human operator. The human operator confirms, by looking at the image portion, whether the image portion appears to be a building number that matches the extracted value. If so, the processor stores a value that associates that building number with the street level image.

    Abstract translation: 提供了一种用于自动识别街道图像中的建筑物编号的系统和方法。 在一个方面，处理器选择可能靠近感兴趣的地址的街道级图像。 处理器识别图像中与街道号码视觉相似的那些部分，然后提取在这些部分中显示的字符的数值。 如果提取的值对应于感兴趣的地址的建筑物号码，例如基本上等于感兴趣的地址，则提取的值和图像部分被显示给人类操作者。 人类操作者通过观察图像部分来确认图像部分是否看起来是与提取的值相匹配的建筑物号码。 如果是这样，处理器存储将建筑物号码与街道图像相关联的值。

    Payment card OCR with relaxed alignment
    15.
    发明授权
    Payment card OCR with relaxed alignment 有权
    支付卡OCR轻松对齐

    公开(公告)号：US08837833B1

    公开(公告)日：2014-09-16

    申请号：US14104901

    申请日：2013-12-12

    Applicant: Google Inc.

    Inventor： Xiaohang Wang ,  Farhan Shamsi ,  Yakov Okshtein ,  Sanjiv Kumar ,  Henry Allan Rowley ,  Marcus Quintana Mitchell ,  Debra Lin Repenning ,  Alessandro Bissacco ,  Justin Scheiner ,  Leon Palm

    IPC: G06K9/18 ,  G06K9/32

    CPC classification number: G06K9/3283 ,  G06K9/00469 ,  G06K9/18 ,  G06K9/228 ,  G06K9/325 ,  G06K9/40 ,  G06K2009/363 ,  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。

    Comparing extracted card data using continuous scanning
    16.
    发明授权
    Comparing extracted card data using continuous scanning 有权
    使用连续扫描比较提取的卡数据

    公开(公告)号：US08805125B1

    公开(公告)日：2014-08-12

    申请号：US14026479

    申请日：2013-09-13

    Applicant: Google Inc.

    Inventor： Sanjiv Kumar ,  Henry Allan Rowley ,  Xiaohang Wang ,  Yakov Okshtein ,  Farhan Shamsi ,  Alessandro Bissacco

    IPC: G06K9/03 ,  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。

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