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Introducing my Python-based Document Scanner! Using Digital Image Processing Leveraging Digital Image Processing, this tool efficiently captures and processes documents, offering seamless scanning capabilities for various needs. #Python #ImageProcessing #DocumentScanner

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Document-Scanner

Document Scanner using Python and Digital Image Processing

This repository hosts a Python-based document scanner leveraging the power of Digital Image Processing (DIP).

Features:

  1. Efficient Scanning: Transform your images into high-quality scanned documents with just a few lines of code.
  2. Adaptive Processing: Our scanner adapts to different lighting conditions and document types, ensuring optimal results.
  3. Easy Integration: Seamlessly integrate the scanner into your projects with our well-documented Python code.
  4. Customization: Tailor the scanning process to your specific requirements with customizable parameters.

Python modules you might need to import for a document scanner using Digital Image Processing: -> import cv2 # OpenCV for image processing tasks -> import numpy as np # NumPy for numerical operations on images -> import imutils # Utility functions for image processing -> from skimage.filters import threshold_local # Local thresholding for document detection -> from scipy.ndimage import interpolation as inter # Image interpolation for perspective correction -> import matplotlib.pyplot as plt # Matplotlib for visualization (optional) -> import os # Operating system operations (e.g., file handling) -> import argparse # Parsing command-line arguments -> import glob # File path pattern matching -> import pytesseract # Optical Character Recognition (OCR) for text extraction -> from PIL import Image # Python Imaging Library for image loading and manipulation -> import shutil # High-level file operations (e.g., copying, moving) -> import math # Mathematical operations

How It Works:

  • Image Capture: Input your images or use a webcam to capture documents.
  • Preprocessing: Automatically adjust lighting, contrast, and perspective for optimal scanning.
  • Document Detection: Identify document boundaries using advanced image processing techniques.
  • Scanning: Extract and enhance the document contents while removing noise and artifacts.
  • Output: Save the scanned document in various formats, ready for further processing or archiving.

Why Choose Our Scanner:

  1. Accuracy: Our scanner delivers precise results, ensuring clarity and legibility in scanned documents.
  2. Speed: With optimized algorithms, scanning is fast and efficient, even for large batches of documents.
  3. Flexibility: Whether you're scanning invoices, contracts, or handwritten notes, our scanner adapts to your needs.

Contributing:

Contributions are welcome! Feel free to submit bug fixes, improvements, or new features via pull requests.

Get Started:

Check out our documentation and examples to get started with the document scanner today!

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Introducing my Python-based Document Scanner! Using Digital Image Processing Leveraging Digital Image Processing, this tool efficiently captures and processes documents, offering seamless scanning capabilities for various needs. #Python #ImageProcessing #DocumentScanner

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