Sign Language Recognition based on hand symbol using Machine Learning
Kamlesh Patil1 , Kshitija Patankar2, Shraddha Lokhande3, Vaishnavi Pathade4, Mrunmayee Khaire5
1 Information Technology Department, Bharati Vidyapeeth’s College of Engineering for Women, Pune, Maharashtra, India. 2 Information Technology Department, Bharati Vidyapeeth’s College of Engineering for Women, Pune, Maharashtra, India. 3 Information Technology Department, Bharati Vidyapeeth’s College of Engineering for Women, Pune, Maharashtra, India.
4 Information Technology Department, Bharati Vidyapeeth’s College of Engineering for Women, Pune, Maharashtra, India.
5 Information Technology Department, Bharati Vidyapeeth’s College of Engineering for Women, Pune, Maharashtra, India.
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Abstract - The communication among a deaf and listening person poses an excessive hassle. Gestural communication is called Sign language. Sign language uses gestures instead of sound to convey meaning, simultaneously combining hand shapes, orientations and movement of the hands and facial expressions to express fluidly a speaker’s thoughts. Signs are used to communicate words and sentences to the audience. The purpose of the Sign Language Recognition system is to develop an algorithm for recognition of hand gestures with reasonable accuracy, where the input to the pattern recognition system will be given from the hand. It recognizes the pattern and displays the pattern in the form of the text. The information given by camera is collected and stored in the database. The exact meaning of the information is matched with the samples stored previously in the database and is printed. The image is processed considering the parameters like the number of fingers used, the angles between them and then the information is displayed in the form of text. The proposed system is user friendly, as it is easy to use and capable of building efficient and effective human computer interaction.
Key Words: Sign Language Recognition, Convolutional Neural Network, Application Programming Interface, Tensor-flow, OpenCV
