Combining convolutional neural network and self-adaptive algorithm to defeat synthetic multi-digit text-based CAPTCHA-Reference-Cited by-同舟云学术

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Combining convolutional neural network and self-adaptive algorithm to defeat synthetic multi-digit text-based CAPTCHA

Published:2017-03 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Conference on Industrial Technology (ICIT)
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Author:

Wang Ye,Huang Yuanjiang,Zheng Wu,Zhou Zhi,Liu Debin,Lu Mi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7907563/7912587/07915494.pdf?arnumber=7915494

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. A Crosswalk Stripe Detection Model Based on Gradient Similarity Tags;2022 7th International Conference on Image, Vision and Computing (ICIVC);2022-07-26

3. Development of a character CAPTCHA recognition system for the visually impaired community using deep learning;Machine Vision and Applications;2021-01

4. Strengthening Pix CAPTCHA Using Trainlm Function in Backpropagation;Rising Threats in Expert Applications and Solutions;2020-10-02

5. Attention augmentation with multi-residual in bidirectional LSTM;Neurocomputing;2020-04

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