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Image-based CAPTCHA exploiting context in object recognition

机译:基于图像的CAPTCHA在对象识别中利用上下文

摘要

Techniques for an image-based CAPTCHA for object recognition are described. The disclosure describes adding images to a database by collecting images by querying descriptive keywords to an image search engine or crawling images from the Internet.;The disclosure describes generating the image-based CAPTCHA. The image is retrieved from the database, along with objects having significant values. An object is cropped from its image. The portion on the image where the object has been cropped is filled with image inpainting. The process obtains other objects from the database. The object is mixed among the other objects to from a set of candidate objects. A user is asked to select “the object” from the set of candidate objects that fits or matches the image. The image-based CAPTCHA evaluates whether a response, the selection, is from a human or a bot.
机译:描述了用于对象识别的基于图像的验证码的技术。本公开描述了通过向图像搜索引擎查询描述性关键词或从因特网爬取图像来通过收集图像来将图像添加到数据库。本公开描述了生成基于图像的验证码。从数据库中检索图像以及具有重要值的对象。从图像中裁剪出对象。图像上已裁剪对象的部分填充有图像修补。该过程从数据库中获取其他对象。该对象在其他对象之间混合,形成一组候选对象。要求用户从适合或匹配图像的候选对象集中选择“对象”。基于图像的CAPTCHA评估响应(选择)是来自人类还是来自机器人。

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