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Deep Learning Analysis of Amodal Completion CAPTCHA with Colors and Hidden Positions

机译:具有颜色和隐藏位置的无模式完成验证码的深度学习分析

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Existing CAPTCHA methods are able to be read by computers owing to the development of technologies. We proposed a CAPTCHA method with amodal Completion in order to prevent computers from reading CAPTCHA. We also applied aftereffects and colors for the method to enhance visibility. However, our method was completely able to be read by computers with deep learning. However, we were able to discover the undetermined element and problems in our research and the research was not a waste since we found problems and some hits to improve our method. This study was conducted to expect that we get the opportunity to create a more robust CAPTCHA by improving them.
机译:由于技术的发展,计算机可以读取现有的验证码方法。为了防止计算机读取CAPTCHA,我们提出了具有模态补全的CAPTCHA方法。我们还为该方法应用了效果和颜色以增强可见性。但是,我们的方法完全可以通过具有深度学习的计算机读取。但是,我们能够发现我们研究中尚未确定的要素和问题,并且由于发现了问题和改进我们方法的一些命题,所以研究不是浪费。进行这项研究的目的是希望我们有机会通过改进它们来创建更强大的验证码。

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