这个是 2018年 Deecamp 25组 的OCR项目，非常非常感谢每一位队友！
此fork具体介绍检测部分的工作内容。
我的贡献：CTPN检测部分 + 微信小程序
Our Demo: https://www.bilibili.com/video/av30081208
Our Wechat Program (微信小程序)： OCRdeecamp （因服务器回收，功能暂不可用）
Reference Paper: Detecting Text in Natural Image with Connectionist Text Proposal Network https://arxiv.org/pdf/1609.03605.pdf
Reference Code: https://github.com/YCG09/chinese_ocr (Thanks Yang Chenguang)
Text Detection : CTPN (https://arxiv.org/pdf/1609.03605.pdf)
Text Recognition: CTC+DenseNet
Address Judgment: Light GBM or textgrocery (https://github.com/2shou/TextGrocery)
Address Correction: Fuzzy matching based on address library
demo_final.py
You can simply use demo_final.py for inference. Input a picture and output the Chinese address string.
run_flask.py
Communicate between server and wechat program using flask
ocr_whole.py
Text detection using CTPN, then text recognition using Densenet
stupid_addrs_rev.py
Address correction using fuzyy-matching based on address library
ctpn
If you want to know more details about CTPN codes, please check https://github.com/eragonruan/text-detection-ctpn
wechat_program
Some files of wechat program (微信小程序的一些文件)
In our dataset, the accuracy of exactly correct is 83%, accuracy of edit distance less than 3 is 97%.
Our program has a high accuracy at identifying very fuzzy multi-line addresses.