论文成果
Verification CAPTCHA Based on Deep Learning
点击次数:
关键字:
摘要:At present, the captcha is widely used in the Internet. The method of captcha recognition using the convolutional neural networks was introduced in this paper. It was easier to apply the convolution neural network model of simple training to segment the captcha, and the network structure was established imitating VGGNet model. and the correct rate can be reached more than 90%. For the more difficult segmentation captcha, it can be used the end-to-end thought to the captcha as a whole to training, In this way, the recognition rate of the more difficult segmentation captcha can be reached about 85%.
卷号:
期号:
是否译文:

张涛

教师拼音名称:zhangtao

电子邮箱:

所在单位:自动化教研室

学历:博士研究生

学位:博士

毕业院校:东南大学

所属院系:自动化与电子工程学院

崂山校区 - 山东省青岛市松岭路99号   
四方校区 - 山东省青岛市郑州路53号   
中德国际合作区(中德校区) - 山东省青岛市西海岸新区团结路3698号
高密校区 - 山东省高密市杏坛西街1号   
济南校区 - 山东省济南市文化东路80号©2015 青岛科技大学    
管理员邮箱:master@qust.edu.cn
访问量: 手机版 English 青岛科技大学

最后更新时间: ..