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

IPC分类号： G06K9/20 ,  G06K9/22 ,  G06K9/00 ,  G06K9/03

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。

公开(公告)号：EP2593920A2

公开(公告)日：2013-05-22

申请号：EP11807382.4

申请日：2011-07-12

申请人： Google Inc.

发明人： WU, Bo ,  BISSACCO, Alessandro ,  SMITH, Raymond, W. ,  CHEUNG, Kong, Man ,  FROME, Andrea, Lynn ,  URBACH, Shlomo

IPC分类号： G06Q50/00

CPC分类号： G06K9/3258 ,  G06K9/00 ,  G06K9/18 ,  G06K2209/01 ,  G06Q50/10

摘要： A system and method is provided for automatically recognizing building numbers (530) in street level images (320). In one aspect, a processor (210) selects a street level image (320) that is likely to be near an address (530) of interest. The processor (210) identifies those portions of the image that are visually similar to street numbers, and then extracts the numeric values (410) of the characters displayed in such portions. If an extracted value (720) corresponds with the building number of the address of interest (750) such as being substantially equal to the address of interest, the extracted value (820) and the image portion (850) are displayed to a human operator. The human operator confirms, by looking at the image portion (850), whether the image portion (850) appears to be a building number that matches the extracted value (820). If so, the processor (210) stores a value that associates that building number with the street level image (320).

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

IPC分类号： G06K9/20 ,  G06Q20/32 ,  G06Q20/34

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.

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

IPC分类号： G06K9/32 ,  G06Q20/34 ,  G06Q20/32

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。