Projects
Handwritten Text Recognition System
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.
Handwritten text recognition
Image preprocessing pipeline
Contour detection
Thresholding optimization
Morphological transformations
Implemented contour detection
Applied thresholding techniques
Utilized morphological operations
Enhanced image quality
Tesseract implementation
Custom OCR pipeline
Text extraction optimization
Accuracy improvement
Image enhancement
Noise reduction
Contrast adjustment
Size normalization
Python
OpenCV
Tesseract OCR
Pytesseract
Computer Vision libraries
Improved text recognition accuracy
Enhanced preprocessing pipeline
Optimized extraction process
Robust detection system
[Project screenshots to be added] 
