Handwritten Digit Image Recognition

The process involves loading handwritten digit images and normalizing them to a uniform size, typically 24x24 pixel blocks, followed by binarization using the Otsu algorithm. Subsequently, morphological operations like image thinning are applied to the binary images for feature extraction according to algorithm requirements. Finally, template matrices are loaded for comparison using Euclidean distance metrics to obtain recognition results.