Unsupervised Text Recognition

Unsupervised Text Recognition is a technology that can identify and parse text without labeled data, aiming to automatically extract textual content from images and perform character-level decomposition. This technology, through self-learning methods, can effectively handle various fonts and layouts, enhancing the accuracy and robustness of text recognition. In the field of computer vision, Unsupervised Text Recognition holds significant application value and is widely used in document digitization, scene text recognition, and natural language processing scenarios.