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Study of Hollow Letter CAPTCHAs Recognition Technology Based on Color Filling Algorithm
Huishuang Shao,Yurong Xia,Kai Meng,박창호 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.4
The hollow letter CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart)is an optimized version of solid CAPTCHA, specifically designed to weaken characteristic information andincrease the difficulty of machine recognition. Although convolutional neural networks can solve CAPTCHAin a single step, a good attack result heavily relies on sufficient training data. To address this challenge, wepropose a seed filling algorithm that converts hollow characters to solid ones after contour line restoration andapplies three rounds of detection to remove noise background by eliminating noise blocks. Subsequently, weutilize a support vector machine to construct a feature vector for recognition. Security analysis and experimentsshow the effectiveness of this algorithm during the pre-processing stage, providing favorable conditions forsubsequent recognition tasks and enhancing the accuracy of recognition for hollow CAPTCHA.
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