Handwritten character recognition

Handwritten character recognition is a technology that allows computers to identify and interpret handwritten text, much like how humans read writing. It works by analyzing the shape, style, and structure of each written character using algorithms and pattern recognition techniques. The system is trained on many examples to understand variations in handwriting, enabling it to accurately convert handwritten notes into digital text. This process is widely used in digitizing documents, processing forms, and enabling voice-to-text applications, making handwritten information easier to store, search, and share electronically.