Handwritten Digit Recognition: A Branch of Optical Character Recognition (OCR) Technology

Handwritten digit recognition is a specialized branch of Optical Character Recognition (OCR) technology that focuses on developing computer algorithms to automatically identify human-written Arabic numerals on paper. The system typically involves processing sample images through preprocessing techniques, feature extraction methods, and provides error metric curves for neural network training evaluation, often visualized using libraries like Matplotlib or TensorBoard.