CG Image Recognition Algorithm Based on Convolutional Neural Network
Chenyu Liu · Journal of Physics Conference Series · 2020
Abstract Aiming at the problem that the existing computer generated images (CG) and real photograph (PG) have low recognition rates, this paper proposes an improved convolutional neural network method to achieve accurate recognition of the two photos. Firstly, a convolutional neural network classification model is established, then different models are established based on the VGG-19 network structure, and transfer learning is introduced to reduce training time and save computing resources. Finally, a softmax classifier is used for classification. The experimental results show that the accuracy of the proposed method for the recognition of PG images is about 93%. Compared with other methods, the method has the highest recognition accuracy, which indicates that the method is feasible and effective.