mon95/Sign-Language-and-Static-gesture-recognition-using-sklearn
A Machine Learning pipeline that performs hand localization and static-gesture recognition built using the scikit learn and scikit image libraries
This project helps create a system to recognize hand gestures, such as those used in sign language, from images. You provide a collection of hand gesture images, and it trains a model that can then identify new gestures in other images. This is useful for researchers or educators developing tools for sign language interpretation or interactive gesture-based systems.
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Use this if you need to build a custom system for recognizing specific hand gestures from static images.
Not ideal if you need to recognize dynamic, continuous sign language conversations or gestures from live video streams.
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Jun 30, 2018
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