# # introduction
Hi, I’m Abo, and I recently found an interesting project.
This project is conducted by learning gitee.com/nbsl/idCard… Post-integration tess4J, you don’t need to be trained to use it directly, of course, you can also be trained to use it.
The project modified the original need to install opencv process, all using javaccp technology reconstruction, through javaccp to introduce the need for c++ library development.
There is no need to install opencV’s new function of front end control identification area, and new function of back end verification after identification. The page style is mainly suitable for paid.
Re-modified the identification process behind the user OpencV image optimization and regional selection, Used to identify the Numbers and x tess4j cooperate style area in the background of cutting area images/idCardCv/SRC/main/resources/static/js/plugins/cropper cropper. The CSS
Id card number identification request address it based on openCV open-source library at http://localhost:8080/idCard/index. This means you can take the full source code and port it to all platforms supported by OpencV. It is based on Java development. It has a high recognition rate. When the picture is clear, the number detection and recognition accuracy is above 90%.
Required Software
This version has been tested on the following platforms:
- windows7 64bit
- Jdk1.8.0 _45
- junit 4
- opencv4.3
- javaccp1.5.3
- 5.1 tess4j4.
- tesseract4.0.0
Project update
1. It was slow to upload pictures using Base64 before, but sharding upload using Webuploader plug-in can improve the speed when the network speed is slow, especially when used by paid browser. Change the original page to idcard_bak.html. 2. There is a test picture saving path in the original project, and it will be uniformly updated to the configuration document. 3. Upgrade Opencv3.4.3 to 4.3
The project address
Gitee.com/endlesshh/i…