Abstract: : In today's world where we make things easy for our needs. We have created a program for the deaf worldwide. A simple and efficient system is an hour's need and in this busy world translating is a very tedious task. The tool can detect hand gestures in real time, captured using a webcam / camera. We used PYTHON IDE to process the program and display the translated text. Using TensorFlow, Keras, CNN to train our model. A large database to increase the level of matching and have the right system or tool to keep things simple and stable.
We did not use external hardware to make the project cost less and easier to move from one location to another. It can be used for heavy loads with large databases. By using the python we can easily process the image and insert it into database. TensorFlow, Keras modules are very useful to use. The database is easily created and processed with the help of the modules we use. Creating a large database will help us to reduce the error in feature detection and touch detection.
Keywords: Gesture Recognition, Sign Recognition, CNN, Histogram
|
DOI:
10.17148/IJARCCE.2022.11540
