Chinese Text Detection Using Deep Learning Model and Synthetic Data

摘要

Detection of text in natural scene images is very challenging, and it is not completely solved. In this work we propose a fast and reliable algorithm to generate synthetic data of Chinese characters in images. The proposed algorithm make the text content cover the background in a natural way. To validate the proposed method effective, another dataset are generated by ordinary fusion method. Two dataset are used to train Faster-RCNN network. And the experimental result shows that the dataset are generated by proposed method achieve a better performance of detection than the normal way.