Offline Handwritten Chinese Character Recognition

Offline Handwritten Chinese Character Recognition is a subtask in the field of Natural Language Processing, focusing on identifying and parsing the components of offline handwritten Chinese characters, including radicals and two-dimensional structures. This task aims to accurately convert handwritten Chinese characters into editable digital text through algorithms and technical means, enhancing the efficiency and accuracy of text input. Its application value is extensive, covering areas such as document digitization, historical document research, educational assessment, and more.