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Application of computer vision in the recognition and interpretation of sign letters

Student: Ira Pačić

With its development, computer vision has spread to numerous branches, including helping people with everyday difficulties they face. In this paper, the application of computer vision in the recognition and interpretation of sign language in the Python programming language using the OpenCV and MediaPipe libraries is demonstrated. Before creating the model, we have a theoretical introduction to the concepts and libraries necessary for creating the model, and then the program code that recognizes the letters of the sign language is explained. At the end, the obtained solution is evaluated and ways to improve the model are described.

Repository: https://repozitorij.fsb.unizg.hr/islandora/object/fsb%3A10906