Overview
Developed an OCR pipeline using OpenCV and Tesseract for handwritten text recognition. The project focused on preprocessing techniques and text extraction optimization through various computer vision approaches.
Key Features
- Handwritten text recognition
- Image preprocessing pipeline
- Contour detection
- Thresholding optimization
- Morphological transformations
Technical Implementation
Image Processing
- Implemented contour detection
- Applied thresholding techniques
- Utilized morphological operations
- Enhanced image quality
OCR Integration
- Tesseract implementation
- Custom OCR pipeline
- Text extraction optimization
- Accuracy improvement
Preprocessing Pipeline
- Image enhancement
- Noise reduction
- Contrast adjustment
- Size normalization
Tech Stack
- Python
- OpenCV
- Tesseract OCR
- Pytesseract
- Computer Vision libraries
Impact
- Improved text recognition accuracy
- Enhanced preprocessing pipeline
- Optimized extraction process
- Robust detection system
Project Gallery
[Project screenshots to be added]