Segmentation of CAPTCHA Using Corner Detection and Clustering

Sun, Yujia; Platoš, Jan

doi:10.1007/978-3-030-50097-9_67

Cited by 3 publications

(1 citation statement)

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“…Moreover, characters are the same width (8 pixels) and height (10 pixels). Therefore, character vertical projection is a suitable approach to easily segment to individual characters [8,9]. The vertical projection is used to analyze the distribution histogram of pixels of two valued images in the previous sections.…”

Section: Segmentationmentioning

confidence: 99%

CAPTCHA characters recognition based on image processing and support vector machine algorithms

Qiu

2022

Second International Symposium on Computer Technology and Information Science (ISCTIS 2022)

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CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is widely used in major mainstream websites as a security mechanism to classify human and computer. In recent years, the design and breaking technology of CAPTCHA have become an important research issue in order to verify security and reliability, which involves image processing, pattern recognition, artificial intelligence, computer vision and etc. This paper outlines some typical CAPTCHAs and presents an approach to recognize the text-based CAPTCHAs based on image processing and support vector machine algorithms. By testing the simple test-based CAPTCHAs, the experimental results show that the approach has an efficient recognition.

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Section: Segmentationmentioning

confidence: 99%