GitHub - capmac18/liveness-detection: A neural network approach to classify face images as a live photo or otherwise using a normal image and a low exposure counterpart of a face to extract the features.

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A neural network approach to classify face images as a live photo or otherwise using a normal image and a low exposure counterpart of a face to extract the features.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.ipynb_checkpoints		.ipynb_checkpoints
DL_model2_exposure.model		DL_model2_exposure.model
Feature extraction		Feature extraction
blooper/laplace-edge-svm		blooper/laplace-edge-svm
single_hidden_layer.model		single_hidden_layer.model
single_hidden_layer_updated.model		single_hidden_layer_updated.model
Fake_model1_histogram.csv		Fake_model1_histogram.csv
Fake_model1_histogramold.csv		Fake_model1_histogramold.csv
Fake_model2_exposure.csv		Fake_model2_exposure.csv
Real_model1_histogram.csv		Real_model1_histogram.csv
Real_model2_exposure.csv		Real_model2_exposure.csv
TestFake_model2_exposure.csv		TestFake_model2_exposure.csv
TestReal_model2_exposure.csv		TestReal_model2_exposure.csv
backup.ipynb		backup.ipynb
liveness_detection.ipynb		liveness_detection.ipynb
liveness_detection.py		liveness_detection.py

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A neural network approach to classify face images as a live photo or otherwise using a normal image and a low exposure counterpart of a face to extract the features.

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