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In the present web-based safety landscape, CAPTCHA safety is popular and frequently utilized in a variety of applications. The primary functional prerequisite of CAPTCHA is the reality that it ought to be simple to understand for humans but challenging for bots to decipher. This characteristic encourages mental work to increase precision. The suggested system is an image-based CAPTCHA that offers users an engaging interface so they can overcome it on their own with no help. This paper’s major goal is to show the fact that the CAPTCHA is safe and impossible to circumvent, making it simpler for customers to choose and annotate photos where bots cannot. Users may identify the distorted photos, making it more difficult for bots to distinguish between humans and bots while impairing human recognition. The article discusses selection-based picture CAPTCHA and presents an engaging and visually appealing.

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Analysis of Captchas for Human Interpretation Using Image Recognition and Annotation-Based Decision-Making

  • 会议论文

  • 发表日期：

    2025年

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  • Md. V. Prasad,
  • Bagam Laxmaiah,
  • Sayyad Rasheeduddin,
  • Pinamala Sruthi

摘要

In the present web-based safety landscape, CAPTCHA safety is popular and frequently utilized in a variety of applications. The primary functional prerequisite of CAPTCHA is the reality that it ought to be simple to understand for humans but challenging for bots to decipher. This characteristic encourages mental work to increase precision. The suggested system is an image-based CAPTCHA that offers users an engaging interface so they can overcome it on their own with no help. This paper’s major goal is to show the fact that the CAPTCHA is safe and impossible to circumvent, making it simpler for customers to choose and annotate photos where bots cannot. Users may identify the distorted photos, making it more difficult for bots to distinguish between humans and bots while impairing human recognition. The article discusses selection-based picture CAPTCHA and presents an engaging and visually appealing.