Fujitsu today announced the development of an artificial intelligence model that can generate highly reliable recognition of handwritten character strings. The artificial intelligence model represents the world’s highest degree of accuracy in recognizing handwritten Chinese character strings. Recognition of individual handwritten Chinese characters using deep learning and other AI models has already surpassed human recognition capability. When used on strings of handwritten characters, however, issues arise with an inability to correctly break the strings into individual characters.
This Fujitsu-developed technology generates a high level of reliability only for proper characters. It does this by using a heterogeneous deep learning model, which, in addition to supervised character samples used in conventional technology, uses a newly developed supervised sample of non-characters made up of radicals, and combinations of parts which do not make up characters. By applying this model, recognition mistakes in characters have been reduced to less than half that of previous technology, greatly improving the efficiency of tasks such as digitization of handwritten texts. This technology will be used as part of Human Centric AI Zinrai, the Fujitsu AI technology.
