Character Recognition

Character recognition, the automated extraction of text from images, aims to digitize and make accessible vast amounts of textual data, including historical documents and scene text. Current research heavily utilizes deep learning models, particularly transformer-based architectures and convolutional neural networks, often incorporating techniques like contrastive learning and multi-modal approaches to improve accuracy and efficiency across diverse languages and document types. This field is crucial for applications ranging from document digitization and information retrieval to cultural preservation and intelligent traffic systems, driving advancements in both computer vision and natural language processing.