Image CAPTCHA: Based on human understanding of real world distances

R. Aadhirai, P. J. Kumar, S. Vishnupriya
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引用次数: 12

Abstract

We propose a Completely Automated Public Turing Test to Tell Computers and Humans Apart scheme based on a human's understanding of real world objects and their relative distances. Solving this CAPTCHA involves answering about the relative distances of objects present in an image. What is subtle to humans may not be so to computing machines. As an object moves farther away from the point of perception, its size decreases. But equipped with only the information on size, a decision cannot be made on its position from the point of perception. The real world knowledge on the object dimensions is essential since both a big and small object near the perception point will appear big and cannot be differentiated. This ability of humans, aided with experience, is a unique feature and would thus serve to distinguish them from computers. The queries on the CAPTCHA may include - "who stands behind whom", "which is nearer" or "which is larger in real life".
图像验证码:基于人类对现实世界距离的理解
我们提出了一个基于人类对现实世界物体及其相对距离的理解的完全自动化的公共图灵测试来区分计算机和人类。解决这个验证码需要回答图像中物体的相对距离。对人类来说很微妙的事情,对计算机来说可能就不是这样了。当物体离感知点越远,它的大小就越小。但是,只有尺寸的信息,不能从感知的角度对其位置做出决定。现实世界中关于物体尺寸的知识是必不可少的,因为在感知点附近的大物体和小物体都会显得很大,无法区分。人类的这种能力,在经验的帮助下,是一种独特的特征,从而将人类与计算机区分开来。验证码的问题可能包括“谁站在谁后面”、“哪个更近”或“现实生活中哪个更大”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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