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README
Apache-2.0

OCR 项目

📚 项目简介

本项目是一个结合了DDD(领域驱动设计)架构理念的Java-Python跨界之作,旨在提供精准高效的OCR服务。

利用Python的Paddle OCR库进行文字识别,该库以其高准确率和对复杂场景的适应性著称,能够轻松识别包括180°翻转在内的多种文本形式。

与此同时,Java部分采用了DDD架构,不仅加深了业务理解,也提升了代码的可维护性和扩展性。

前端则选用了Ant Design Pro,为用户提供流畅的交互体验。

前端代码仓库同样开源,欢迎您查阅和贡献:

  • 前端项目地址Laurc2004/ocr-frontend 使用Ant Design Pro构建,为用户带来极致的Web体验。

🔄 调用流程与功能说明 :gear:

💻 单体版本

  • 公众号集成:用户通过公众号发送图片或图片链接,根据引导即可启动OCR服务。
  • Python OCR引擎:图片信息转发至Python后端,调用Paddle OCR进行文字识别。
  • Java处理逻辑:识别结果被Java后端反序列化,提取关键信息并暂存于Redis(时效5分钟),利用线程池与Redission实现并发控制与流量限制。

🌐 微服务版本

  • Web界面操作:用户访问Web界面,关注公众号后获取验证码登录,享受更丰富的功能。
  • 用户认证与注册:通过Spring Security实现安全验证,新用户自动注册。
  • 多样化识别选项:支持上传文件或输入URL,策略模式与工厂模式灵活选择处理策略,预留扩展接口如Base64识别。
  • 结果输出定制:提供专业模式输出详细坐标信息及文本识别分数,非专业模式则快速提取特定类型信息(如英文、车牌、身份证号等)。
  • 支付与订单管理:集成微信支付,采用EventBus解耦支付回调逻辑,配合定时任务处理异常订单。(前端暂时未做,本人微信商户到期)

🎨 功能展示 :framed_picture:

微服务:

image

🛠️ 软件架构

遵循DDD原则,项目分为四层:

  • 触发层:http、消息队列、定时任务等
  • 应用层:协调业务逻辑
  • 领域层:核心业务规则与实体
  • 基础设施层:数据库、缓存等

🔧 技术栈亮点

Java & 中间件

  • Spring生态:Spring Boot, MVC, Security
  • 网络与数据:Okhttp, Jackson, Mybatis, MySQL, Redis
  • API管理与文档:Knife4j
  • 开发辅助:Lombok
  • 消息传递:EventBus(Guava)
  • 配置与服务发现:Nacos
  • 流量控制:Sentinel
  • 分布式锁:Redission

Python

  • 轻量级Web框架:Flask
  • OCR库:PaddleOCR

前端技术

  • React + Ant Design Pro:构建现代Web应用
  • ArkTs(规划中):面向鸿蒙应用的TypeScript库
  • ReactNative(规划中):面向移动端

📖 安装部署教程

1.0.0简易版教程 2.0.0微服务版教程

欢迎Star🌟 和Fork该项目,您的反馈与贡献是我们不断进步的动力!

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