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    Extracting card data with card models
    13.
    发明授权
    Extracting card data with card models 有权
    使用卡片型号提取卡片数据

    公开(公告)号：US08831329B1

    公开(公告)日：2014-09-09

    申请号：US14059151

    申请日：2013-10-21

    Applicant: Google Inc.

    Inventor： Sanjiv Kumar ,  Henry Allan Rowley ,  Xiaohang Wang ,  Jose Jeronimo Moreira Rodrigues

    IPC: G06K9/00 ,  G06K9/18

    CPC classification number: G06K9/6269 ,  G06K9/00469 ,  G06K9/00536 ,  G06K9/18 ,  G06K9/186 ,  G06K9/3233 ,  G06K9/3258 ,  G06K9/46 ,  G06K9/6202 ,  G06K9/6267 ,  G06K9/66 ,  G06K2009/4666 ,  G06K2209/01 ,  G06Q20/227 ,  G06Q20/34 ,  G06T3/0012 ,  G06T7/11 ,  G06T2207/20132 ,  G07F7/0893

    Abstract: Embodiments herein provide computer-implemented techniques for allowing a user computing device to extract financial card information using optical character recognition (“OCR”). Extracting financial card information may be improved by applying various classifiers and other transformations to the image data. For example, applying a linear classifier to the image to determine digit locations before applying the OCR algorithm allows the user computing device to use less processing capacity to extract accurate card data. The OCR application may train a classifier to use the wear patterns of a card to improve OCR algorithm performance. The OCR application may apply a linear classifier and then a nonlinear classifier to improve the performance and the accuracy of the OCR algorithm. The OCR application uses the known digit patterns used by typical credit and debit cards to improve the accuracy of the OCR algorithm.

    Abstract translation: 这里的实施例提供了计算机实现的技术，用于允许用户计算设备使用光学字符识别（“OCR”）提取金融卡信息。 可以通过对图像数据应用各种分类器和其他变换来提高金融卡信息的提取。 例如，在应用OCR算法之前，对图像应用线性分类器以确定数字位置允许用户计算设备使用较少的处理能力来提取准确的卡数据。 OCR应用程序可以训练分类器来使用卡的磨损模式来改善OCR算法性能。 OCR应用可以应用线性分类器，然后应用非线性分类器来提高OCR算法的性能和准确性。 OCR应用程序使用典型的信用卡和借记卡使用的已知数字模式来提高OCR算法的准确性。

    EXTRACTING CARD DATA FROM MULTIPLE CARDS
    15.
    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。

    Data reduction in nearest neighbor classification
    16.
    发明授权
    Data reduction in nearest neighbor classification 有权
    最近邻分类数据减少

    公开(公告)号：US09378466B2

    公开(公告)日：2016-06-28

    申请号：US14145519

    申请日：2013-12-31

    Applicant: Google Inc.

    Inventor： Sanjiv Kumar ,  Henry Allan Rowley ,  Francisco Jose Claude Faust

    IPC: G06N99/00

    CPC classification number: G06N99/005

    Abstract: A set S is initialized. Initially, S is empty; but, as the disclosed process is performed, items are added to it. It may contain one or more samples (e.g., items) from each class. One or more labeled samples for one or more classes may be obtained. A series of operations may be performed, iteratively, until a stopping criterion is reach to obtain the reduced set. For each class of the one or more classes, a point may be generated based on at least one sample in the class having a nearest neighbor in a set S with a different class label than the sample. The point may be added to the set S. The process may be repeated unless a stopping criterion is reached. A nearest neighbor for a submitted point in the set S may be identified and a candidate nearest neighbor may be output for the submitted point.

    Abstract translation: 一组S被初始化。 最初，S是空的 但是，随着所公开的处理被执行，项目被添加到它。 它可以包含来自每个类的一个或多个样本（例如，项目）。 可以获得用于一个或多个类别的一个或多个标记的样品。 可以迭代地执行一系列操作，直到达到停止标准以获得缩减的集合。 对于一个或多个类的每个类，可以基于类中具有与样本不同的类标签的集合S中的最近邻的至少一个样本来生成点。 该点可以被添加到集合S中。除非达到停止标准，否则可以重复该过程。 可以识别集合S中的提交点​​的最近邻，并且可以为所提交的点输出候选最近邻。

    Three-Dimensional Shape Capture Using Non-Collinear Display Illumination
    17.
    发明申请
    Three-Dimensional Shape Capture Using Non-Collinear Display Illumination 审中-公开
    使用非共线显示照明的三维形状捕获

    公开(公告)号：US20160163057A1

    公开(公告)日：2016-06-09

    申请号：US14945880

    申请日：2015-11-19

    Applicant: Google Inc.

    Inventor： Henry Allan Rowley ,  Shumeet Baluja

    IPC: G06T7/00 ,  G06T15/50 ,  H04N13/02

    CPC classification number: H04N13/296 ,  G06T7/586 ,  G06T7/85 ,  G06T15/506 ,  G06T2207/10028 ,  G06T2207/10152 ,  H04N13/254

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for three-dimensional shape capture. In one aspect, a method includes displaying a first, a second and a third illumination patterns on a display screen, and capturing a first, a second and a third image of an object while the first, the second and the third illumination patterns are respectively displayed. The method further includes determining the three-dimensional shape of the object based on the captured images.

    Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于三维形状捕获。 一方面，一种方法包括：在第一，第二和第三照明图案分别在显示屏幕上显示第一，第二和第三照明图案，以及捕获物体的第一，第二和第三图像 显示。 该方法还包括基于捕获的图像确定对象的三维形状。

    Predictive information retrieval
    19.
    发明授权
    Predictive information retrieval 有权

    公开(公告)号：US09292609B2

    公开(公告)日：2016-03-22

    申请号：US14281994

    申请日：2014-05-20

    Applicant: Google Inc.

    Inventor： Shumeet Baluja ,  Henry Allan Rowley

    IPC: G06F17/30

    CPC classification number: G06F17/30554 ,  G06F3/0482 ,  G06F3/04842 ,  G06F17/30864 ,  G06F17/30867 ,  G06F17/30882

    Abstract: A computer-implemented method for generating results for a client-requested query involves receiving a query produced by a client communication device, generating a result for the query in response to reception of the query, determining one or more predictive follow-up requests before receiving an actual follow-up request from the client device, and initiating retrieval of information associated with the one or more predictive follow-up requests, and transmitting at least part of the result to the client device, and then transmitting to the client device at least part of the information associated with the one or more predictive follow-up requests.

    EXTRACTING CARD DATA FROM MULTIPLE CARDS
    20.
    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：US20150371086A1

    公开(公告)日：2015-12-24

    申请号：US14837605

    申请日：2015-08-27

    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 ,  G06K9/32

    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。

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