Testing and Improvement of OCR Recognition Technology in Export-Oriented Chinese Dictionary APP

With the increasing number of Chinese learners each year,the interna-tional influence of the Chinese language has also grown.Consequently,Chinese auxiliary learning tools should align more closely with the needs of present-day learners.This paper focuses on a typical Chinese dictionary app and conducts tests and comparisons of the optical character recognition(OCR)function.Specifically,it compares the OCR function of a widely used Chinese learning dictionary with the more advanced and sophisticated mobile built-in OCR recognition technology available today.By identifying the technical gap,the paper proposes a design that incorporates deep learning techniques to enhance the built-in OCR function of the dictionary.This improvement aims to significantly enhance recognition accuracy in natural scenarios and ultimately enhance the user experience of the Chinese learning dictionary app.