Automated fingerprint classification using the Socofing dataset, leveraging machine learning to categorize fingerprints into arches, loops, and whorls for enhanced biometric identification. Project covers data analysis, model development, and evaluation to improve security and authentication systems.
machine-learning deep-learning cross-validation performance-metrics feature-extraction hyperparameter-optimization image-classification biometrics pattern-recognition convolutional-neural-networks data-preprocessing decision-trees support-vector-machines biometric-authentication automated-identification-process socofing fingerprint-classification
-
Updated
Jan 7, 2025 - Jupyter Notebook