An Approach for Chinese Character Captcha Recognition Using CNN
An Approach for Chinese Character Captcha Recognition Using CNN is a scholarly work, published in 2018 in ''Journal of Physics: Conference Series''. The main subjects of the publication include image, character, code, convolutional neural network, deep learning, optical character recognition, artificial intelligence, convolution, identification, digital forensics, artificial neural network, CAPTCHA, speech recognition, biometrics, Chinese characters, pattern recognition, and computer science. The experiment result shows that the identification rate of the test data is as high as 99.4 percent after 25 iterations, and it is 1.75 percent higher when compared with another CNN model.