Handwritten Word Segmentation

Handwritten Word Segmentation from Document Images is an important sub-task in the field of computer vision, focusing on accurately segmenting handwritten words from document images. This task aims to achieve precise localization and cutting of handwritten text through advanced image processing and pattern recognition techniques, providing high-quality data support for subsequent text recognition and content understanding. Its application value is extensive, covering areas such as digitization of historical documents, conversion of handwritten notes, and organization of educational materials, effectively enhancing the automation level and efficiency of document processing.