Handwriting and symbol recognition software

The challenge of this technology lies in the design of an efficient and intuitive control interface between the user and the machine, using the recognition of handwritten symbols traced on touch devices. The aim is to develop engines and development environments capable of learning all types of symbols in real time, without using prior training lists, and taking into account the calibration of the user's graph.

The proposed solution is based on first-order fuzzy Takagi-Sugeno inference systems. This approach implements a control interface between the user and the machine by replacing traditional menus with more intuitive gesture controls on touch-based media. The technology makes it possible to learn all types of symbols in real time, without using prior learning lists, taking into account the calibration of the user's graph.