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Fingerprint-Spoof-Detector
fingerprint_spoof_detector_based_on_lbp's Introduction
Fingerprint-Spoof-Detector-based-on-LBP
- Conversion of each image into grayscale before we extract the LBP features.
- Extraction of LBP features from the LocalBinaryPattern implementation found in scikit-image.
- SVC is used as it tries to classify the classes based on maximum margin by taking extreme points.
- Performed GridSearch on SVC to find out that non-linear kernel -RBF perform well when compared to the linear kernel.
- Best parameters fitted to our model.
- We can see the result our model based on our selected performance metrics.
- Accuracy
- Precision
- Recall
- Confusion matrix
- Python
- opencv
- sklearn
- pyimagesearch
- scikit-learn
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