CAPTCHA images can be read automatically by computer algorithms
Modern computer algorithms and deep learning models, such as convolutional neural networks, can effectively read and solve various types of CAPTCHA images automatically.
The claim is a specific, empirical statement about computer vision and security. Multiple papers demonstrate the use of machine learning, convolutional neural networks, and automated commercial services to successfully read and solve CAPTCHA images. There are no papers refuting the claim.
Г.О. Тимофеев, А.Б. Рощин. IMPROVING THE RESISTANCE OF CAPTCHA TESTS AGAINST AUTOMATED RECOGNITION BY CONVOLUTIONAL NEURAL NETWORKS. 2022. https://doi.org/10.34832/elsv.2022.31.6.006
The study demonstrates that convolutional neural networks like ResNet-18 can automatically recognize and bypass CAPTCHA test images.
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Kalyan Banerjee, Dinakar Keerthana. Enhancing Alphanumeric Based CAPTCHA Solving using Deep Learning Techniques.. 2023. https://doi.org/10.21203/rs.3.rs-3424978/v1
Research shows that deep learning techniques such as CNNs can accurately solve alphanumeric-based CAPTCHA images.
Boon Chuan Lim. Entry, Not Decay: A Sixteen-Year Panel of CAPTCHA-Solving Prices, 2010-2026. 2026. https://doi.org/10.2139/ssrn.6786540
The availability of commercial CAPTCHA-solving services and AI-native firms confirms that automated algorithms routinely bypass these image tests.
Dipika Malhotra, Satinder Kaur. Recognition Of CAPTCHA Characters Using Machine Learning Algorithms. 2022. https://doi.org/10.52458/978-81-955020-5-9-10
Comparative analysis of machine learning algorithms demonstrates that models like CNNs successfully recognize CAPTCHA characters.
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