Fingerprints identification and authentication scenarios - as part of the Biometrics System Concepts course @ KU Leuven
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Updated
Mar 4, 2020 - Jupyter Notebook
Fingerprints identification and authentication scenarios - as part of the Biometrics System Concepts course @ KU Leuven
Bio-WISE: Biometric recognition with integrated pad: simulation environment
Biometric Systems Project 2020
Face recognition, tackling three different "old-school" Computer Vision techniques - as part of the Biometrics System Concepts course @ KU Leuven
A biometric system that classifies a person based on its ECG.
Biometric recognition with integrated pad: simulation environment
Analysis of a biometric system's verification performance using similarity matrices
Implementation of the framework to predict the vulnerability of biometric systems to attacks using morphed biometric information.
Used a pre-trained model, ensemble duonet, to detect the type of emotion displayed by the image selected at random from a dataset consisting of 35,000 photographs. Provided a confusion matrix for error detection showing an accuracy of 74%.
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