|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Chineseaddress_ocr||276||3 years ago||10||Python|
|Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。|
|Ocr||4||a year ago||PHP|
|a package for can be OCR image|
|Tess4ocr||2||5 years ago||1||apache-2.0||C|
|Upgraded Tesseract4 API for Android Platform|
|Dart||2||4 years ago||apache-2.0||C++|
|Deep Address Recognition Technology|
|Company Name Id||2||4 years ago||Python|
Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction.
This is a project of the 2018 Deecamp 25th group (DRPRG). Thanks to my team members!
这个是 2018年 Deecamp 25组 (深度受限抠图小组) 的项目，非常非常的感谢每一位队友！
Our Demo: https://www.bilibili.com/video/av30081208
Our Wechat Program (微信小程序)： OCRdeecamp
Reference Paper: Detecting Text in Natural Image with Connectionist Text Proposal Network
Reference Code: YCG09/chinese_ocr (Thanks to Yang Chenguang)
Text Detection : CTPN
Text Recognition: CTC+DenseNet
Address Judgment: Light GBM or textgrocery
Address Correction: Fuzzy matching based on address library
You can simply run demo_final.py for inference. Input a picture and output the Chinese address string.
Communication between server and Wechat program with flask
Text detection with CTPN, and text recognition with Densenet
Address correction using fuzzy-matching based on address library
If you want to know more details about CTPN codes, please check eragonruan/text-detection-ctpn
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%, the accuracy of edit distance less than 3 is 97%.
Our program has high accuracy at identifying very fuzzy multi-line addresses.
If you want to know more details, please read ChineseAddress_OCR_Report.pdf(中文).
You need to create a new py file and call the
def demo_flask from
demo_final.py to run the project.
from demo_final import demo_flask image_file="./demo.png" # image path output_file,ret_total = demo_flask(image_file) print('Recognition Result:') print(ret_total)
If you encounter the error related to "converter", you need to rewrite some code lines to Python 3 grammar.