The project achieves recognition of Indian Sign Language using hand gestures from live video capture. Implemented using Python with OpenCV, TensorFlow and Keras.

Apr 2, 2016 · This repository contains python implementation for recognizing Indian sign language (ISL) gestures for deaf and dumb people. Topics

Jan 17, 2021 · This repository contains python implementation for recognizing Indian sign language (ISL) gestures for deaf and dumb people.

May 5, 2021 · In this paper, an Indian sign language recognition using Python program has been developed. This work was taken up by keeping in mind the difficulties that are faced by differently abled people, for instance, people who cannot speak, or those who cannot hear.

Apr 9, 2025 · In this article, we'll create an image recognition model using TensorFlow and Keras. TensorFlow is a robust deep learning framework, and Keras is a high-level API(Application Programming Interface) that provides a modular, easy-to-use, and organized interface to solve real-life deep learning problem

In this sign language recognition project, we create a sign detector, which detects numbers from 1 to 10 that can very easily be extended to cover a vast multitude of other signs and hand gestures including the alphabets. We have developed this project using OpenCV and Keras modules of …

We represent a comprehensive review of vision based sign recognition algorithms published in the previous 16 years, emphasising the importance of taking these things into consideration in addition to the algorithm's recognition accuracy when …

The training has been done using a personally created database of symbols in Indian sign language (ISL) such as digits 0–9 as well as an online database from GitHub to improve accuracy. The results obtained were compiled in Anaconda 3.0 and then finally tested.

Apr 15, 2025 · IndianSign is a Python library that recognizes Indian Sign Language (ISL) signs using MediaPipe and a deep learning model (LSTM). Developed and maintained by the Python community, for the Python community. Donate today! "PyPI", "Python Package Index", and the blocks logos are registered trademarks of the Python Software Foundation.

We gathered a dataset for identifying 36 distinct gestures (alphabets and numerals) and a dataset for typical hand gestures in ISL created from scratch using webcam images. The system accepts a hand gesture as input and displays the identified character on the monitor screen in real time.