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Systems and methods for deep learning based approach for content extraction

机译:基于深度学习的内容提取方法的系统和方法

摘要

Disclosed are systems and methods for extracting content based on image analysis. A method may include receiving content including at least an image depicting a coupon; converting the received content into a larger image including the image depicting the coupon; determining, utilizing one or more neural networks, the image depicting the coupon within the larger image, wherein determining the image depicting the coupon comprises: segmenting a foreground bounding box including the image depicting the coupon from background image portions of the image; cropping the larger image based on the bounding box, wherein the cropped image consists of the image depicting the coupon; determining text included in the cropped image; and extracting information included in the coupon based on the determined text.
机译:公开了基于图像分析提取内容的系统和方法。 方法可以包括接收包括描绘优惠券的至少图像的内容; 将所接收的内容转换为包括描绘优惠券的图像的更大图像; 利用一个或多个神经网络确定描绘较大图像内的优惠券的图像,其中确定描绘优惠券的图像包括:分割包括从图像的背景图像部分中描绘优惠券的图像的前景边界框; 裁剪基于边界框的较大图像,其中裁剪图像由描绘优惠券的图像组成; 确定裁剪图像中包含的文本; 并根据所确定的文本提取包含在优惠券中的信息。

著录项

  • 公开/公告号US11188746B1

    专利类型

  • 公开/公告日2021-11-30

    原文格式PDF

  • 申请/专利权人 OATH INC.;

    申请/专利号US202016829440

  • 申请日2020-03-25

  • 分类号G06K9/62;G06K9;G06T7/11;G06F40/40;G06N3/08;G06Q30/02;

  • 国家 US

  • 入库时间 2022-08-24 22:13:20

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