We proposed the probability pattern framework to recognize the target numbers in the captcha images. In the experiment, the quantitative assessment shows that�...
We proposed the probability pattern framework to recognize the target numbers in the captcha images. In the experiment, the quantitative assessment shows that�...
Jun 14, 2021 � The recognition is done by performing statistical analysis on the characters. The CAPTCHA breaking method not only applied to CAPTCHAservice.org�...
Feb 25, 2023 � It is a systematic and complete analysis of all available CAPTCHA types. In this paper, 16 text-based CAPTCHA's generation methods are discussed�...
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CAPTCHA has long been used to keep bots from misusing web services. Various CAPTCHA schemes have been proposed over the years, principally to increase�...
Nov 29, 2023 � We present a novel CAPTCHA recognition algorithm that utilizes deep learning and binary images with character grouping, eliminating the�...
One notable study by Zhang et al. [16] utilized an improved vertical projection technique [17] [18][19] for CAPTCHA segmentation. This technique effectively�...
In this paper, the CAPTCHA recognition is studied by using neural network algorithm. Because the traditional BP neural network itself has problems such as�...
Abstract. This study focuses on a machine learning ap- proach to the CAPTCHA recognition prob- lem that requires minimal preprocessing of inputs.
In this paper, the CAPTCHA code is recognized based on character segmentation and random forest algorithm. In the recognition process, the gray conversion�...
