This paper reports the extraction of image features of comic artist by convolutional neural
network. In recent years, illegal uploading of comics has become a social issue. The comic artist
wants to find his own illegally uploaded comic. A convolutional neural network extract image
features representing a class from an image. Comics has the artist's style. The artist's style can
be used as an image features that represents a class in the comic image classification problem.
Therefore, convolutional neural networks can solve the artist classification problem for comic
images. If the classification problem can be solved, it can be applied to image retrieval. Visualize the
area of interest when convolutional neural networks predict artists. There is an element that can
predict the artist in the attention area. The experimental results suggest that the comic characters
face is important for convolutional neural network to predict the artist from the comic images.