EAN-13 Barcode Recognition Function Developed in MATLAB

This MATLAB-based EAN-13 barcode recognition function was developed as part of my course final project. The function enables accurate identification of EAN-13 barcodes, a widely adopted standard for product identification and tracking systems. During development, I implemented sophisticated image processing techniques including image preprocessing (thresholding, noise reduction), bar pattern detection using edge detection algorithms, and digital decoding logic that follows EAN-13 specifications. The core algorithm processes barcode images through sequential stages: image binarization using adaptive thresholding, bar width measurement through pixel analysis, and checksum validation using modulo-10 calculation. This function provides efficient EAN-13 barcode recognition with improved accuracy, making it suitable for practical applications in retail, logistics, and inventory management systems. The development process involved extensive testing with various barcode images to ensure robustness. I am satisfied with both the development methodology and final results, and hope this implementation can inspire and assist others in similar computer vision projects.