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    Partial overlap and delayed stroke input recognition
    72.
    发明授权
    Partial overlap and delayed stroke input recognition 有权
    部分重叠和延迟笔画输入识别

    公开(公告)号：US09224038B2

    公开(公告)日：2015-12-29

    申请号：US14107007

    申请日：2013-12-16

    Applicant: Google Inc.

    Inventor： Daniel Martin Keysers ,  Thomas Deselaers ,  Henry Allan Rowley

    IPC: G06K9/00

    CPC classification number: G06K9/00422 ,  G06K9/00 ,  G06K9/00402 ,  G06K9/52 ,  G06K2209/01

    Abstract: An optimal recognition for handwritten input based on receiving a touch input from a user may be selected by applying both a delayed stroke recognizer as well as an overlapping recognizer to the handwritten input. A score may be generated for both the delayed stroke recognition as well as the overlapping recognition and the recognition corresponding to the highest score may be presented as the overall recognition.

    Abstract translation: 可以通过将延迟的笔画识别器以及重叠识别器同时应用于手写输入来选择基于从用户接收触摸输入的手写输入的最佳识别。 可以为延迟的卒中识别以及重叠识别生成分数，并且对应于最高分数的识别可以被呈现为整体识别。

    Extracting card data from multiple cards
    73.
    发明授权
    Extracting card data from multiple cards 有权
    从多张卡中提取卡片数据

    公开(公告)号：US09152858B2

    公开(公告)日：2015-10-06

    申请号：US13931966

    申请日：2013-06-30

    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。

    Extraction of financial account information from a digital image of a card
    75.
    发明授权
    Extraction of financial account information from a digital image of a card 有权
    从卡的数字图像中提取财务帐户信息

    公开(公告)号：US09092690B2

    公开(公告)日：2015-07-28

    申请号：US13798026

    申请日：2013-03-12

    Applicant: GOOGLE INC.

    Inventor： Henry Allan Rowley ,  Ashok Chhabedia Popat ,  Michael Edward Jahr ,  Zhifei Li

    IPC: G06K9/46

    CPC classification number: G06K9/2054 ,  G06K9/00449 ,  G06K9/18 ,  G06K9/46 ,  G06K9/6267 ,  G06K9/72 ,  G06K2209/01 ,  G06Q20/102 ,  G06Q20/3567 ,  G06Q20/382

    Abstract: Capturing information from payment instruments comprises receiving, using one or more computer devices, an image of a back side of a payment instrument, the payment instrument comprising information imprinted thereon such that the imprinted information protrudes from a front side of the payment instrument and the imprinted information is indented into the back side of the payment instrument; extracting sets of characters from the image of the back side of the payment instrument based on the imprinted information indented into the back side of the payment instrument and depicted in the image of the back side of the payment instrument; applying a first character recognition application to process the sets of characters extracted from the image of the back side of the payment instrument; and categorizing each of the sets of characters into one of a plurality of categories relating to information required to conduct a payment transaction.

    Abstract translation: 从支付工具获取信息包括：使用一个或多个计算机设备接收支付工具的背面的图像，所述支付工具包括印在其上的信息，使得所述打印信息从所述支付工具的正面突出并且所述印刷 信息缩进到支付工具的背面; 基于所述支付工具背面的印刷信息，从所述支付工具的背面图像中提取出的字符集，并以所述支付工具的背面的图像形式示出; 应用第一字符识别应用来处理从所述支付工具的背面的图像提取的字符集; 以及将每个所述字符集分类为与执行支付交易所需的信息相关的多个类别中的一个。

    Segmentation of Overwritten Online Handwriting Input
    76.
    发明申请
    Segmentation of Overwritten Online Handwriting Input 有权
    覆盖在线手写输入的分割

    公开(公告)号：US20150186718A1

    公开(公告)日：2015-07-02

    申请号：US14142964

    申请日：2013-12-30

    Applicant: Google Inc.

    Inventor： Henry Allan Rowley ,  Thomas Deselaers ,  Li-Lun Wang

    IPC: G06K9/00

    CPC classification number: G06K9/00402

    Abstract: Implementations of the disclosed subject matter provide methods and systems for identifying a candidate character cut for an overwritten character. A method may include providing a handwriting input area. The handwriting input area may be divided into multiple sections and a first portion of the multiple sections may be located in an end point region. A first handwritten input comprising a first stroke that ends in a section located in the end point region may be received. A second handwritten input comprising a second stroke that begins in a section that is not located in the end point region may be received. As a result, a first candidate character cut may be identified between the first stroke and the second stroke.

    Abstract translation: 所公开的主题的实现提供了用于识别覆盖字符的候选字符切割的方法和系统。 方法可以包括提供手写输入区域。 手写输入区域可以被分成多个部分，并且多个部分的第一部分可以位于终点区域中。 可以接收包括在位于终点区域中的部分中结束的第一笔划的第一手写输入。 可以接收包括在不位于终点区域的部分中开始的第二笔划的第二手写输入。 结果，可以在第一行程和第二行程之间识别第一候选字符切割。

    HIERARCHICAL CLASSIFICATION IN CREDIT CARD DATA EXTRACTION
    77.
    发明申请
    HIERARCHICAL CLASSIFICATION IN CREDIT CARD DATA EXTRACTION 有权
    信用卡数据提取中的分层分类

    公开(公告)号：US20150003748A1

    公开(公告)日：2015-01-01

    申请号：US14059071

    申请日：2013-10-21

    Applicant: GOOGLE INC.

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

    IPC: G06K9/00

    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 WITH WEAR PATTERNS
    78.
    发明申请
    EXTRACTING CARD DATA WITH WEAR PATTERNS 有权
    提取卡片数据与磨损模式

    公开(公告)号：US20150003667A1

    公开(公告)日：2015-01-01

    申请号：US14091093

    申请日：2013-11-26

    Applicant: GOOGLE INC.

    Inventor： Henry Allan Rowley ,  Sanjiv Kumar ,  Xiaohang Wang ,  Alessandro Bissacco ,  Jose Jeronimo Moreira Rodrigues ,  Kishore Ananda Papineni

    IPC: G06T3/00 ,  G06K9/62 ,  G06K9/18 ,  G06K9/66

    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应用程序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。

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