Thai_IDcard_Text_Detection

Welcome to the project! This project demonstrates a chain of functionality where Data Extraction from Thai Id card, Data Cleaning and storing it to database followed bt CRUD operations

Table of Contents

• Architecture
• Features
• Technologies
• Working
• Getting Started
• Output

Architecture

2D Architecture Diagram

This diagram involves the basic architecture of application

Frontend (Client):

• User Interface (UI): Responsible for rendering the user interface and handling user interactions.
• Upload Image for OCR: Here image is uploaded to read data directly from Thai ID card image
• CRUD operations: These operation involves the data management in database

Backend (Server):

• API Endpoints: Offers various API endpoints for frontend communication, including image reading using Google vision, data updatation, data deletion and data retrieval.
• OCR Image reading: Implementing Image reading using Google vision API and extract data
• Data Cleaning: This involves Data cleaning from extracted data
• Database (SQLite): Utilizes SQLite for data storage and associated operations.

Features

• OCR Image reading
• GUI which enables to perform CRUD operations

Technologies

Frontend:

• HTML, CSS
• Bootstrap

Backend:

• FAST API
• Python (Data Cleaning)
• Google Vision

Databases:

• SQLite

Working

• Data Preprocessing:

  Convert image to grascale for noice reduction

  
• Data Reading from Image:

  Extract Data from Image using API

  
• Data Cleaning:

  Cleaning of data after extraction

  
• Data Extraction:

  Extraction of relevent data after cleaning

  

Getting Started

1. Get to following link for starting project locally

   https://github.com/yourusername/Thai_National_idcard_Text_Detection
   

2. Download the zip and extrat it
3. Install dependencies for backend:

   pip install database fastapi starlette starlette Database fastapi JSONResponse FastAPI File UploadFile HTTPException StaticFiles Request Jinja2Templates

4. Start the frontend : Open index.html in templates folder

   # In the project directory
        uvicorn main:app --reload

5. Access the application's Frontend at by opening index.html file in your web browser.
6. Access the application's Bakend at http://localhost:8000 in your web browser.

Output

• Main Web page

  

• Read operation Web page

  

• Create operation Web page

  

• Delete operation Web page

  

• Update operation Web page