重庆理工大学学报2024，Vol.38Issue(19)：156-160,5.DOI:10.3969/j.issn.1674-8425(z).2024.10.019
面向多类型干扰的验证码目标识别算法研究
Research on verification code target recognition algorithm for multi-type interference
摘要
Abstract
Verification code is a technology employed to differentiate computers and humans so as to avoid security issues such as automated program registration,login,malicious voting,and malicious password spraying.We aim to find and correct the shortcomings of verification code in time,which has important significance for improving network security.Based on the research on the verification code recognition algorithm,this paper designs a verification code recognition system,employing template matching,Hu invariant moment and deep learning algorithms to process and recognize the verification code image,and finally obtains recognition results for the verification code with multiple types of interference.Our results show the recognition accuracy of the first two verification code algorithms is 60.3％and 66.0％respectively,while that of the two forms of the deep learning algorithm is 87.7％and 95.58％.In the complex interference such as online interference and mixed interference,the recognition accuracy is markedly improved,demonstrating the feasibility of deep learning algorithm on multi-type interference verification code recognition.关键词
验证码/图像处理/多类型干扰/识别算法/深度学习Key words
verification code/image processing/multi-type interference/recognition algorithm/deep learning分类
信息技术与安全科学引用本文复制引用
程瑶,龚奥,王玉菡..面向多类型干扰的验证码目标识别算法研究[J].重庆理工大学学报,2024,38(19):156-160,5.基金项目
国家自然科学基金项目(52375526) （52375526）
重庆市教委科学技术研究青年项目(KJQN202101124) （KJQN202101124）
重庆理工大学研究生创新项目(gzlcx20242016) （gzlcx20242016）
重庆市研究生科研创新项目(CYS240671) （CYS240671）
