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
The purpose of this project is to develop an AI-powered system capable of detecting deepfake facial data in biometric systems. By leveraging machine learning, specifically XceptionNet architecture, the project aims to classify facial data as real or fake with high accuracy and reliability.
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%.
🖐️VeinNet: A CNN-Based Hand Vein Recognition System.
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