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公开(公告)号：EP3069300A1
公开(公告)日：2016-09-21
申请号：EP14863003.1
申请日：2014-10-14
申请人： Google Inc.
发明人： WANG, Xiaohang , BISSACCO, Alessandro , BERNTSON, Glenn , NAZIF, Marria , SCHEINER, Justin , SHIH, Sam , SNYDER, Mark, Leslie , TALAVERA, Daniel
CPC分类号： G06K9/00463 , G06K9/00979 , G06K9/036 , G06K9/18 , G06K9/4647 , G06K2209/01
摘要： The technology of the present disclosure includes computer-implemented methods, computer program products, and systems to filter images before transmitting to a system for optical character recognition (“OCR”). A user computing device obtains a first image of the card from the digital scan of a physical card and analyzes features of the first image, the analysis being sufficient to determine if the first image is likely to be usable by an OCR algorithm. If the user computing device determines that the first image is likely to be usable, then the first image is transmitted to an OCR system associated with the OCR algorithm. Upon a determination that the first image is unlikely to be usable, a second image of the card from the digital scan of the physical card is analyzed. The optical character recognition system performs an optical character recognition algorithm on the filtered card.
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2.发明公开
公开(公告)号：EP3017399A1
公开(公告)日：2016-05-11
申请号：EP14744694.2
申请日：2014-06-30
申请人： Google Inc.
发明人： 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
CPC分类号： G06K9/3233 , G06K2009/363 , G06Q20/3276 , G06Q20/3567
摘要： 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.
摘要翻译： 以轻松对准提取金融卡信息包括接收卡片（205）的图像的方法，确定图像位置中的一个或多个边缘查找器区域，以及识别所述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长宽比与预期宽高比进行比较（215）。 该方法然后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。 对每个卡的分析结果进行比较，提高数据的准确性。
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公开(公告)号：EP3014527A2
公开(公告)日：2016-05-04
申请号：EP14744687.6
申请日：2014-06-27
申请人： Google Inc.
发明人： WANG, Xiaohang , SHAMSI, Farhan , OKSHTEIN, Yakov , KUMAR, Sanjiv , ROWLEY, Henry Allan , MITCHELL, Marcus Quintana , REPENNING, Debra Lin , RODRIGUES, Jose Jeronimo Moreira , LI, Zhifei
CPC分类号： 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
摘要： 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.
摘要翻译： 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，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; 并对该卡的数字表示执行特定的光学字符识别算法，该特定光学字符识别算法基于所确定的卡类型。 另一示例将所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。
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公开(公告)号：EP3014907A1
公开(公告)日：2016-05-04
申请号：EP14817048.3
申请日：2014-06-25
申请人： Google Inc.
发明人： WANG, Xiaohang , SHAMSI, Farhan , OKSHTEIN, Yakov , SINGLETON, David , REPENNING, Debra, Lin , ZHANG, Lixin , FOSTER, Marcus, Alexander
CPC分类号： H04W4/021 , G06F17/3087 , G08B1/08 , H04W4/12 , H04W64/003
摘要： A geofence management system obtains location data for points of interest. The geofence management system determines, at the option of the user, the location of a user mobile computing device relative to specific points of interest and alerts the user when the user nears the points of interest. The geofence management system, however, determines relationships among the identified points of interest, and associates or “clusters” the points of interest together based on the determined relationships. Rather than establishing separate geofences for multiple points of interest, and then alerting the user each time the user's mobile device enters each geofence boundary, the geofence management system establishes a single geofence boundary for the associated points of interest. When the user's mobile device enters the clustered geofence boundary, the geofence management system notifies the user device to alert the user of the entrance event. The user then receives the clustered, geofence-based alert.
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公开(公告)号：EP2545507A2
公开(公告)日：2013-01-16
申请号：EP11753825.6
申请日：2011-03-03
申请人： Google Inc.
发明人： WANG, Xiaohang , MITCHELL, Andrew Robert , IP, Lawrence Poi Heng , ZHAO, Shubin , NOWKA, Andrew John
CPC分类号： G06Q20/12 , G06Q20/4016 , G06Q40/00 , G06Q40/02
摘要： Systems and methods for detecting fraudulent merchants using the content of orders completed by the merchants. A fraud detection engine of a fraud detection system generates a fraud detection model using feature data extracted from order content data for known fraudulent and known non-fraudulent merchants. The fraud detection engine executes the model using feature data extracted from order content data for a target merchant to determine a fraud risk associated with the target merchant. If the fraud risk of the merchant is indicative of a fraudulent merchant, the fraud detection system can issue a request to a fraud analyst to review the target merchant further. The results of the fraud analyst's review can be used to update the fraud detection model.
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6.发明公开COMPARING EXTRACTED CARD DATA USING CONTINUOUS SCANNING 审中-公开VERGLEICHEN VON EXTRAHIERTEN KARTENDATEN MIT KONTINUIERLICHER ABTASTUNG
公开(公告)号：EP3014526A2
公开(公告)日：2016-05-04
申请号：EP14747437.3
申请日：2014-06-27
申请人： Google Inc.
发明人： KUMAR, Sanjiv , ROWLEY, Henry Allan , WANG, Xiaohang , OKSHTEIN, Yakov , SHAMSI, Farhan , MITCHELL, Marcus Quintana , BISSACCO, Alessandro
CPC分类号： 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
摘要： 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.
摘要翻译： 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所述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中进一步提取数据。 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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