- 专利标题: Extracting card data with linear and nonlinear transformations
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申请号: US14722123申请日: 2015-05-26
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公开(公告)号: US09679225B2公开(公告)日: 2017-06-13
- 发明人: Sanjiv Kumar , Henry Allan Rowley , Xiaohang Wang , Jose Jeronimo Moreira Rodrigues
- 申请人: GOOGLE INC.
- 申请人地址: US CA Mountain View
- 专利权人: GOOGLE INC.
- 当前专利权人: GOOGLE INC.
- 当前专利权人地址: US CA Mountain View
- 代理机构: Johnson, Marcou & Isaacs, LLC
- 主分类号: G06K9/62
- IPC分类号: G06K9/62 ; G06K9/18 ; G06K9/66 ; G06T3/00 ; G06K9/00 ; G06Q20/22 ; G06Q20/34 ; G07F7/08 ; G06K9/32 ; G06K9/46 ; G06T7/11 ; G06T7/00
摘要:
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.
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