GitHub - Kvatsx/Sign-Language-Gesture-Recognition: This project aims to compare and analyze the results and performance of different classifiers(SVM, RF, LR, CNN etc.) with different feature extraction technique for hand gesture recognition.

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This project aims to compare and analyze the results and performance of different classifiers(SVM, RF, LR, CNN etc.) with different feature extraction technique for hand gesture recognition.

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Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.gitignore		.gitignore
07192910.pdf		07192910.pdf
ConvN_MNIST.ipynb		ConvN_MNIST.ipynb
ConvNet_mnist.py		ConvNet_mnist.py
Final-Poster.pdf		Final-Poster.pdf
Guide.pdf		Guide.pdf
README.pdf		README.pdf
ReadFrames.py		ReadFrames.py
SML_Project_Proposal.pdf		SML_Project_Proposal.pdf
bovw_ss.png		bovw_ss.png
gesture_recognition_svm.ipynb		gesture_recognition_svm.ipynb
mnist_gesture.ipynb		mnist_gesture.ipynb
mnist_gesture.py		mnist_gesture.py
mnist_ss.png		mnist_ss.png
plot.py		plot.py
src_report.zip		src_report.zip

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This project aims to compare and analyze the results and performance of different classifiers(SVM, RF, LR, CNN etc.) with different feature extraction technique for hand gesture recognition.

opencv computer-vision svm convolutional-neural-networks random-forest-classifier

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