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公开(公告)号：US09740929B2
公开(公告)日：2017-08-22
申请号：US15457946
申请日：2017-03-13
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：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
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。
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公开(公告)号：US20170004370A1
公开(公告)日：2017-01-05
申请号：US15267117
申请日：2016-09-15
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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公开(公告)号：US20160267345A1
公开(公告)日：2016-09-15
申请号：US15158520
申请日：2016-05-18
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
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.
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公开(公告)号：US20150003733A1
公开(公告)日：2015-01-01
申请号：US14462711
申请日：2014-08-19
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: G06K9/32
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。
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Patent Agency Ranking
公开(公告)号：US08903136B1
公开(公告)日：2014-12-02
申请号：US14133232
申请日：2013-12-18
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：US20170185833A1
公开(公告)日：2017-06-29
申请号：US15457946
申请日：2017-03-13
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：US09594972B2
公开(公告)日：2017-03-14
申请号：US15158520
申请日：2016-05-18
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
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。
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公开(公告)号：US09460358B2
公开(公告)日：2016-10-04
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，并将字母数字系列与从机器可读取的特定系列字符匹配 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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公开(公告)号：US09367754B2
公开(公告)日：2016-06-14
申请号：US14462711
申请日：2014-08-19
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
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。
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