A Captcha Mechanism By Exchange Image Blocks

W. Liao
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引用次数: 17

Abstract

The need to tell human and machines apart has surged due to abuse of automated `bots'. However, several textual-image-based CAPTCHAs have been defeated recently, calling for the development of new anti-automation schemes. In this paper, we propose a simple yet effective visual CAPTCHA test by exchanging the content of non-overlapping regions in an image. We give in-depth analysis regarding the choice of parameter and image database during the test generation phase. We also contemplate possible ways, including: 1) random guess, 2) collect and match, and 3) image segmentation, to defeat the proposed test and provide counter-measures when necessary. Preliminary experimental results have validated the efficacy of the proposed CAPTCHA, although we expect that a large-scale experiment to collect and analyze user responses contribute to optimal parameter settings
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通过交换图像块的验证码机制
由于滥用自动化“机器人”,区分人和机器的需求激增。然而,最近几个基于文本图像的验证码已经失败,这就要求开发新的反自动化方案。在本文中,我们通过交换图像中非重叠区域的内容,提出了一种简单而有效的视觉CAPTCHA测试。在测试生成阶段,对参数和图像数据库的选择进行了深入的分析。我们还考虑了可能的方法,包括:1)随机猜测,2)收集和匹配,以及3)图像分割,以击败所提出的测试并在必要时提供对策。初步的实验结果已经验证了所提出的CAPTCHA的有效性,尽管我们希望通过大规模的实验来收集和分析用户的反应,从而有助于优化参数设置
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