DropRegion training of inception font network for high-performance Chinese font recognition

作者：

Highlights：

• A new approach, DropRegion-IFN, is proposed for Chinese font recognition.

• DropRegion is proposed as a new data augmentation and regularization technique.

• We design a new deep model named inception font network (IFN).

• Very high accuracies of 99.78% and 98.98% are achieved for text block and single character font recognition.

摘要

•A new approach, DropRegion-IFN, is proposed for Chinese font recognition.•DropRegion is proposed as a new data augmentation and regularization technique.•We design a new deep model named inception font network (IFN).•Very high accuracies of 99.78% and 98.98% are achieved for text block and single character font recognition.

论文关键词：Chinese font recognition,DropRegion,Elastic meshing technique,Inception font network (IFN),Text block-based font recognition

论文评审过程：Received 15 March 2017, Revised 10 September 2017, Accepted 15 October 2017, Available online 17 October 2017, Version of Record 6 February 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.10.018