Authors: Yupeng Cao(X), Qiufeng Wang*(X), Qi Qu(B), Jing Li(X), Cheng Cheng*(N), Kaizhu Huang*(X) (Equal Contribution)

Description: A CNN-based method is used for training script identification classifier in cropped word images. We use VGG-19 architecture as the training model. For each convoluntional layer, we add the batch normalization and choose max pooling as the pooling layer.

P.S.Affiliation of Authors
(N:Institute of Nanotechnology and Nano-Bionics, Chinese Academy of Sciences ；
X:Xi’an Jiaotong-liverpool University ；
B:Beijing Babel Tenchnology Co., Ltd.)