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公开(公告)号：US09626556B2
公开(公告)日：2017-04-18
申请号：US14525152
申请日：2014-10-27
Applicant: GOOGLE INC.
Inventor： Xiaohang Wang , Alessandro Bissacco , Glenn Merlind Berntson , Marria Nazif , Justin Scheiner , Sam Shih , Mark Leslie Snyder , Daniel Talavera
CPC classification number: G06K9/00463 , G06K9/00979 , G06K9/036 , G06K9/18 , G06K9/4647 , G06K2209/01
Abstract: 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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公开(公告)号：US20160342853A1
公开(公告)日：2016-11-24
申请号：US15229071
申请日：2016-08-04
Applicant: GOOGLE INC.
Inventor： Xiaohang Wang , Farhan Shamsi , Sanjiv Kumar , Henry Allan Rowley , Marcus Quintana Mitchell
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.
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公开(公告)号：US09295026B1
公开(公告)日：2016-03-22
申请号：US14158738
申请日：2014-01-17
Applicant: GOOGLE INC.
Inventor： Michael James Taylor , Xiaohang Wang , Yakov Okshtein , Farhan Shamsi , Mohammad Hossain Sheikh Attar
CPC classification number: H04W4/027 , G01C21/3492 , G01C21/3626 , G01S1/68 , G01S19/39 , G01S19/42 , H04W4/023 , H04W64/006 , H04W84/12
Abstract: A location of a network user computing device is determined relative to a location of a point of interest. If the user device is determined to be stationary, the user device is monitored for movement, the movement resulting in re-determining the location of the user device relative to a location of the point of interest. If the user device is determined to be moving, the velocity of the user device is matched with a predetermined velocity, and a preliminary estimated time of arrival to the point of interest is determined based on the predetermined velocity matched to the user device. At a later time that is based on a function of the preliminary estimated time of arrival, an estimated time of arrival to the point of interest is verified based on the predetermined velocity matched to the user device.
Abstract translation: 网络用户计算设备的位置是相对于兴趣点的位置来确定的。 如果用户设备被确定为静止的，则监视用户设备的移动，该移动导致重新确定用户设备相对于该兴趣点的位置的位置。 如果确定用户设备正在移动，则用户设备的速度与预定速度相匹配，并且基于与用户设备匹配的预定速度来确定到达目标点的初步估计时间。 在基于初步预计到达时间的功能的较后时间，基于与用户设备匹配的预定速度来验证到达感兴趣点的估计时间。
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24.发明申请CLASSIFYING OPEN-LOOP AND CLOSED-LOOP PAYMENT CARDS BASED ON OPTICAL CHARACTER RECOGNITION 有权基于光学字符识别的分类开环和闭环支付卡公开(公告)号：US20160019529A1
公开(公告)日：2016-01-21
申请号：US14551883
申请日：2014-11-24
Applicant: GOOGLE INC.
Inventor： Xiaohang Wang , Glenn Berntson
IPC: G06Q20/34
CPC classification number: G06Q40/00 , G06K9/00442 , G06K9/18 , G06K9/3258 , G06K2209/01 , G06Q20/34 , G06Q20/351 , G06Q20/36 , H04N5/2257
Abstract: A user captures an image of a payment card via a user computing device camera. An optical character recognition system receives the payment card image from the user computing device. The system performs optical character recognition and visual object recognition algorithms on the payment card image to extract text and visual objects from the payment card image, which are used by the system to identify a payment card type. The system may categorize the payment card as an open-loop card or a closed-loop card, or as a credit card or a non-credit card. In an example embodiment, the system allows or prohibits extracted financial account information from the payment card to be saved in the digital wallet account based on the determined payment card category. In another example embodiment, the system transmits an advisement to the user based on the determined payment card category.
Abstract translation: 用户通过用户计算设备相机捕获支付卡的图像。 光学字符识别系统从用户计算设备接收支付卡图像。 该系统在支付卡图像上执行光学字符识别和视觉对象识别算法，从支付卡图像中提取文本和视觉对象，系统用于识别支付卡类型。 系统可将支付卡分为开环卡或闭环卡，或信用卡或非信用卡。 在示例实施例中，系统允许或禁止从支付卡提取的金融账户信息基于所确定的支付卡类别被保存在数字钱包账户中。 在另一示例性实施例中，系统基于确定的支付卡类别向用户发送建议。
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公开(公告)号：US20160019439A1
公开(公告)日：2016-01-21
申请号：US14550871
申请日：2014-11-21
Applicant: GOOGLE INC.
Inventor： Xiaohang Wang , Justin Scheiner , Glenn Berntson
CPC classification number: G06K9/18 , G06K7/1447 , G06K9/00442 , G06K9/036 , G06K9/2054 , G06K9/344 , G06K9/62 , G06K9/6255 , G06K9/726 , G06K2209/01
Abstract: Extracting card information comprises a server at an optical character recognition (“OCR”) system that interprets data from a card. The OCR system performs an optical character recognition algorithm an image of a card and performs a data recognition algorithm on a machine-readable code on the image of the card. The OCR system compares a series of extracted alphanumeric characters obtained via the optical character recognition process to data extracted from the machine-readable code via the data recognition process and matches the alphanumeric series of characters to a particular series of characters extracted from the machine-readable code. The OCR system determines if the alphanumeric series and the matching series of characters extracted from the machine-readable code comprise any discrepancies and corrects the alphanumeric series of characters based on the particular series of characters extracted from the machine-readable code upon a determination that a discrepancy exists.
Abstract translation: 提取卡信息包括解释来自卡的数据的光学字符识别（“OCR”）系统的服务器。 OCR系统对卡的图像执行光学字符识别算法，并对卡的图像上的机器可读代码执行数据识别算法。 OCR系统将经由光学字符识别处理获得的一系列提取的字母数字字符与通过数据识别处理从机器可读代码提取的数据进行比较，并将字母数字系列字符与从机器可读取中提取的特定系列字符相匹配 码。 OCR系统确定从机器可读代码提取的字母数字序列和匹配的字符串是否包含任何差异，并且基于从机器可读代码中提取的特定字符序列来校正字母数字系列字符， 存在差异。
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Patent Agency Ranking
公开(公告)号：US20160019431A1
公开(公告)日：2016-01-21
申请号：US14550878
申请日：2014-11-21
Applicant: GOOGLE INC.
Inventor： Xiaohang Wang , Justin Scheiner , Glenn Berntson
CPC classification number: G06K9/18 , G06K7/1447 , G06K9/00442 , G06K9/036 , G06K9/2054 , G06K9/344 , G06K9/62 , G06K9/6255 , G06K9/726 , G06K2209/01
Abstract: Extracting card information comprises a server at an optical character recognition (“OCR”) system that interprets data from a card. The OCR system performs an optical character recognition algorithm an image of a card and a data recognition algorithm on a machine-readable code on the image of the card. The OCR system compares a series of extracted alphanumeric characters obtained via the optical character recognition process to data extracted from the machine-readable code via the data recognition process and matches the alphanumeric series of characters to a particular series of characters extracted from the machine-readable code. The OCR system determines if the alphanumeric series and the matching series of characters extracted from the machine-readable code comprise any discrepancies and corrects the alphanumeric series of characters. The OCR system may also determine a card type and use a card format associated with the card type to improve the data extraction.
Abstract translation: 提取卡信息包括解释来自卡的数据的光学字符识别（“OCR”）系统的服务器。 OCR系统对卡的图像上的机器可读代码执行卡片的图像和数据识别算法的光学字符识别算法。 OCR系统将经由光学字符识别处理获得的一系列提取的字母数字字符与通过数据识别处理从机器可读代码提取的数据进行比较，并将字母数字系列字符与从机器可读取中提取的特定系列字符相匹配 码。 OCR系统确定从机器可读代码中提取的字母数字系列和匹配的字符串是否包含任何差异，并纠正字母数字系列字符。 OCR系统还可以确定卡类型并使用与卡类型相关联的卡格式来改进数据提取。
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公开(公告)号：US20150139506A1
公开(公告)日：2015-05-21
申请号：US14525152
申请日：2014-10-27
Applicant: GOOGLE INC.
Inventor： Xiaohang Wang , Alessandro Bissacco , Glen Berntson , Marria Nazif , Justin Scheiner , Sam Shih , Mark Leslie Snyder , Daniel Talavera
CPC classification number: G06K9/00463 , G06K9/00979 , G06K9/036 , G06K9/18 , G06K9/4647 , G06K2209/01
Abstract: 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.
Abstract translation: 本公开的技术包括计算机实现的方法，计算机程序产品和在发送到用于光学字符识别的系统（“OCR”）之前过滤图像的系统。 用户计算设备从物理卡的数字扫描中获取卡的第一图像并分析第一图像的特征，该分析足以确定第一图像是否可能被OCR算法可用。 如果用户计算设备确定第一图像可能是可用的，则将第一图像发送到与OCR算法相关联的OCR系统。 在确定第一图像不可能使用时，分析来自物理卡的数字扫描的卡的第二图像。 光学字符识别系统在滤波卡上执行光学字符识别算法。
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公开(公告)号：US20150023604A1
公开(公告)日：2015-01-22
申请号：US13947020
申请日：2013-07-19
Applicant: GOOGLE INC.
Inventor： Marcus Quintana Mitchell , Peter Hazlehurst , Xiaohang Wang , Debra Lin Repenning , Yakov Okshtein , Sanjiv Kumar , Farhan Shamsi , Henry Allan Rowley
IPC: G06K9/00
CPC classification number: G06K9/00449 , G06K9/00483 , G06K9/00536 , G06K2209/01
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.
Abstract translation: 提供用于显示的改进的卡片艺术品包括由一个或多个计算设备接收卡片的图像并在图像上执行图像识别算法。 计算设备识别卡片图像上表示的图像，并将识别的图像与图像数据库进行比较。 计算设备至少部分地基于比较来确定与所识别的图像相关联的标准卡片艺术图像，并且将标准卡片艺术图像与用户的帐户相关联，该帐户与图像中的卡片相关联。 计算设备将标准卡片艺术作为帐户的表示显示。
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公开(公告)号：US08931693B1
公开(公告)日：2015-01-13
申请号：US14077780
申请日：2013-11-12
Applicant: Google Inc.
Inventor： Sanjiv Kumar , Xiaohang Wang , Jose Moreira Rodrigues , Farhan Shamsi , Yakov Okshtein , Henry Allan Rowley , Marcus Quintana Mitchell , Zhifei Li
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; 将所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。
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公开(公告)号：US08879783B1
公开(公告)日：2014-11-04
申请号：US14077862
申请日：2013-11-12
Applicant: Google Inc.
Inventor： Xiaohang Wang , Farhan Shamsi , Sanjiv Kumar , Henry Allan Rowley , Marcus Quintana Mitchell
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; 将所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。
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