This project focuses on leveraging the power of Python and the ArabicOCR library to automate the extraction of Arabic text from images. It provides a robust solution for tasks like document digitization, data extraction, and OCR-related workflows. The script processes images containing Arabic text, extracts the content, and exports the results into an Excel file for easy analysis and further use. Additionally, it offers visualization of processed images with bounding boxes to highlight recognized text regions.
Key Features of the Project
ArabicOCR Integration: Utilizes the ArabicOCR library for accurate and efficient Arabic text recognition from images.
Batch Processing: Automates OCR for multiple images with sequential naming, saving time and effort.
Excel Export: Extracted text is organized and exported to an Excel file, streamlining data analysis and management.
Visualization with OpenCV and Matplotlib: Processed images are displayed with bounding boxes around recognized text regions, providing a clear visual representation of the OCR results.
| اسم المستقل | Ahmed M. |
| عدد الإعجابات | 0 |
| عدد المشاهدات | 18 |
| تاريخ الإضافة |
