README.en.md

1. 橙子 OCR

   Project Introduction

   OrangeOcr (Orange OCR) rely on cutting-edge deep learning and other artificial intelligence technologies to provide multi-channel, high-precision OCR character recognition technology services, printed text recognition accuracy rate can be as high as 90%, provide general OCR recognition, ID card recognition, Bank card recognition, invoice recognition, license plate recognition, and other common industrial OCR recognition services.

   Orange OCR software includes orange_ocr-viwer, orange_ocr-server, orange_ocr-admin, which are the front end, management background, and service monitoring.

   Software Architecture

   Microservices architecture (microservices architecture) is an upgrade of service-oriented architecture (abbreviated SOA).

   RESTful API mode: Services are provided through APIs.

   

   Installation tutorial

   1. Make sure to install maven 3.6+

      `xml mvn -v `

   2. Project root directory packaging

      `xml mvn clean package `

   3. Start

      `xml nohup java -Xms800m -Xmx800m -XX: PermSize = 256m -XX: MaxPermSize = 512m -XX: MaxNewSize = 512m -jar xxxjar `

   Using technology

   ` 1: Spring Boot 2.2.6 2: Spring-Data-Jpa 3: Spring-Security 4: spring-boot-starter-mail 5: fastjson 6: thymeleaf 7: knife4j 8: lombok 9: hutool 10: Mysql 11: Spring-Admin `

   Instructions for use

   1. Can use Jpa directly

   2. You can also use SQL.sql

      `xml SQL file in the project change directory: orange_ocr.sql `

   Configuration instructions

   `` ` Configure the monitoring address in the application.xml of the orange_ocr-admin project:

   Example:

   orange_ocr-viwer: http: // localhost: 9090 / orange_ocr-server: http: // localhost: 9091 / orange_ocr-admin: http: // localhost: 9092 / `` `

   Project display

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