digit recognition

Digit recognition is a process where computers identify handwritten or printed numbers by analyzing their shapes. It uses algorithms that examine features like lines, curves, and sizes to match the digit to known patterns. This process often involves techniques like machine learning, where the system is trained on many examples to improve accuracy. Once trained, the computer can quickly and accurately recognize digits from images, enabling applications such as postal sorting, bank check processing, and digital data entry. In essence, digit recognition transforms visual number images into digital data that computers can understand and work with efficiently.