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Adaptive median filtering algorithm based on divide and conquer and its application in CAPTCHA recognition

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成果类型:
期刊论文
作者:
Ma, Wentao;Qin, Jiaohua*;Xiang, Xuyu;Tan, Yun;Luo, Yuanjing;...
通讯作者:
Qin, Jiaohua
作者机构:
[Ma, Wentao; Qin, Jiaohua; Xiang, Xuyu; Tan, Yun; Luo, Yuanjing] Cent South Univ Forestry & Technol, Coll Comp Sci & Informat Technol, Changsha 410114, Hunan, Peoples R China.
[Xiong, Neal N.] Northeastern State Univ, Dept Math & Comp Sci, Tahlequah, OK 74464 USA.
通讯机构:
[Qin, Jiaohua] C
Cent South Univ Forestry & Technol, Coll Comp Sci & Informat Technol, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
Adaptive median filtering algorithm;CAPTCHA recognition;Image preprocessing;Machine learning
期刊:
计算机、材料和连续体(英文)
ISSN:
1546-2218
年:
2019
卷:
58
期:
3
页码:
665-677
基金类别:
This work is supported by the National Natural Science Foundation of China (No. 61772561), the Key Research & Development Plan of Hunan Province (No. 2018NK2012), the Postgraduate Research and Innovation Project of Hunan Province (No. CX2018B447), the Postgraduate Science and Technology Innovation Foundation of Cent ral South University of Forestry and Technology (20183027), the Key Laboratory for Dig ital Dongting Lake Basin of Hunan Province.
机构署名:
本校为第一且通讯机构
院系归属:
计算机与信息工程学院
摘要:
As the first barrier to protect cyberspace, the CAPTCHA has made significant contributions to maintaining Internet security and preventing malicious attacks. By researching the CAPTCHA, we can find its vulnerability and improve the security of CAPTCHA. Recently, many studies have shown that improving the image preprocessing effect of the CAPTCHA, which can achieve a better recognition rate by the state-of-the-art machine learning algorithms. There are many kinds of noise and distortion in the CAPTCHA images of this experiment. We propose an ada...

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