Handwritten Document

Handwritten document analysis focuses on automatically extracting information from handwritten text, encompassing tasks like character recognition (OCR), layout analysis, and information extraction. Current research heavily utilizes deep learning, particularly convolutional neural networks (CNNs) and transformer-based architectures, often integrated into end-to-end systems to improve efficiency and accuracy. This field is crucial for digitizing historical archives, improving accessibility to information, and automating tasks in education and forensic science, with ongoing efforts to address challenges like variations in handwriting styles and noisy data.